Realization Of Method Research Articles

Restorative justice as a legal category and institution of law: conceptual aspects of essence and content

The article considers the phenomenon of restorative justice. Its essence, content and significance as a legal category, categories of law are determined. The necessity of accelerating the pace of development of social relations that require legal influence, the search by the State within the framework of its realization of the human rights and legal renewal function of new forms and methods of realization of state power and the fulfillment by the State of its duties through interaction with civil society. It is about strengthening the mutual responsibility of all subjects of social relations and the possibility of the state delegating certain powers to such institutions, in particular, the possibility of resolving the conflict in the field of law in an extrajudicial way - through various forms of restorative justice. Appearing within the framework of criminal legal relations, as a form of extrajudicial resolution of the dispute and resolution of the conflict, the category of "restorative justice" has now become universal, since it can be applied within different types of procedural legal relations: civil, criminal, labor, administrative, family, marriage, economic. Consideration of restorative justice as a reflection on the legal conflict as a legal compromise and legal consensus is proposed; legal means and form of human rights protection and restoration of its violated rights; a variety of social practices and forms of interaction between the state and civil society. In the aspect of increasing the efficiency of the legal regulation of public relations, the importance of conceptualizing the doctrine of restorative justice as a certain social practice is emphasized, which performs important from the point of view of ensuring and maintaining law and order, protecting the interests of society and the state, tasks and functions, and is gradually institutionalized in the form of an intersectoral institution of law. Key words: restorative justice, category of law, legal category, institution of law, legal conflict, legal compromise, legal consensus.

Constraint Realization‐Based Hamel Field Integrator for Geometrically Exact Planar Euler–Bernoulli Beam Dynamics

ABSTRACTIn this article, we first introduce a Hamel field integrator designed for a geometrically exact Euler–Bernoulli beam with infinite‐dimensional holonomic constraints, constructed using a Lagrange multiplier. This method addresses the complexities introduced by constraints, but the additional multiplier introduces a new degree of freedom and hence results in a system with mixed‐type partial differential equations. To address this issue, we further propose a constraint realization method based on perturbation theory for infinite‐dimensional mechanical systems within the framework of Hamel's formalism. This method circumvents the use of additional Lagrange multiplier, significantly reducing the computational complexity of modeling problems. Building on this, we construct a perturbed Hamel field integrator optimized for parallel computing and incorporate artificial viscosity to accelerate constraint convergence. While applicable to three dimensions, our method is demonstrated in a simplified context using planar Euler–Bernoulli beam examples to illustrate the effectiveness of the unified mathematical framework.

CRISPR/Cas12 System-Based Assay for Rapid, Sensitive Detection of Rotavirus in Food Samples.

Foodborne viruses have become an important threat to food safety and human health. Among the foodborne viruses, group A rotavirus is the most important pathogen of diarrhea in autumn and winter. The field detection of rotavirus is crucial for the early control of infection and patient management. Quantitative real-time reverse transcription-polymerase chain reaction is the most widely used in virus detection. However, the technique relies on high-cost instruments and trained personnel, which limit its use in field detection. In this study, we developed accurate, realizable, and simple detection methods by combining optimized CRISPR (clustered regularly interspaced short palindromic repeats) Cas12 and reverse transcription loop-mediated isothermal amplification (RT-LAMP) (reverse transcription loop-mediated isothermal amplification) to reduce the requirements for temperature control and costly real-time fluorescence polymerase chain reaction instruments. We investigated two nucleic acid detection systems combining RT-LAMP with CRISPR Cas12a and RT-LAMP with CRISPR Cas12b and compared them with reverse transcription-quantitative polymerase chain reaction. The resulting detection system only needs a reaction temperature and in single tube to react for 60 min with the detection sensitivity of 38 copies/μL. Overall, this study developed an innovative method for the rapid detection of rotavirus in food samples, which will help to effectively identify food contaminated by pathogens and prevent human infections and economic losses caused by disease outbreaks.

Realization of an optimized cylindrical uniform magnetic field coil via flexible printed circuit technology

Abstract The design and fabrication method of magnetic field coils with high uniformity is essential for atomic magnetometers. In this paper, a novel design strategy for cylindrical uniform coils is first proposed, which combines the target-field method (TFM) with an optimized slime mold algorithm (SMA) to determine optimal structure parameters. Then, the realization method for the designed cylindrical coil by using the flexible printed circuit (FPC) technology is presented. Compared with traditional fabrication methods, this method has advantages in excellent flexibility and bending property, making the coils easier to be arranged in limited space. Moreover, the manufacturing process of the FPC technology via a specific cylindrical uniform magnetic field coil is discussed in detail, and the successfully realized coil is well tested in a verification system. By comparing the uniformity performance of the experimental coil with the simulation one, the effectiveness of the FPC technology in producing cylindrical coils has been well validated.

Design and research of serial communication system based on virtual instrument technology

Abstract In the measurement and automation control system, serial communication has been connected between the acquisition hardware (lower computer) and the upper computer between the easiest to realize and the most economical way. In view of the traditional instrument itself is relatively bulky, inconvenient to carry, this paper adopts the virtual instrument development environment to realize the realization of serial communication, in order to complete the subsequent data acquisition. When compared with other software development environment, LabWindows/CVI platform comes with a function library to make the program writing simple and flexible. In this paper, we designed the realization method of serial communication based on virtual instrument Labwindows/CVI environment, completed the design and realization of serial communication between PC and lower computer (microcontroller) based on Labwindows/CVI environment, and applied it to the example of serial communication with microcontroller to realize the data communication function. Practical results prove that the serial communication system based on virtual instrument technology has the advantages of friendly user interface, high stability, convenience and reliability, and can reliably and accurately complete the communication, and provide strong technical support for the system to follow up data acquisition.

Eigenbin compression for reducing photon-counting CT data size.

Photon-counting CT (PCCT) systems acquire multiple spectral measurements at high spatial resolution, providing numerous image quality benefits while also increasing the amount of data that must be transferred through the gantry slip ring. This study proposes a lossy method to compress photon-counting CT data using eigenvector analysis, with the goal of providing image quality sufficient for applications that require a rapid initial reconstruction, such as to confirm anatomical coverage, scan quality, and to support automated advanced applications. The eigenbin compression method was experimentally evaluated on a clinical silicon PCCT prototype system. The proposed eigenbin method performs principal component analysis (PCA) on a set of PCCT calibration measurements. PCA finds the orthogonal axes or eigenvectors, which capture the maximum variance in the N dimensional photon-count data space, where N is the number of acquired energy bins. To reduce the dimensionality of the PCCT data, the data are linearly transformed into a lower dimensional space spanned by the M<N eigenvectors with highest eigenvalues (i.e., the vectors that account for most of the information in the data). Only M coefficients are then transferred per measurement, which we term eigenbin values. After transmission, the original N energy-bin measurements are estimated as a linear combination of the M eigenvectors. Two versions of the eigenbin method were investigated: pixel-specific and pixel-general. The pixel-specific eigenbin method determines eigenvectors for each individual detector pixel, while the more practically realizable pixel-general eigenbin method finds one set of eigenvectors for the entire detector array. The eigenbin method was experimentally evaluated by scanning a 20cm diameter Gammex Multienergy phantom with different material inserts on a clinical silicon-based PCCT prototype. The method was evaluated with the number of eigenbins varied between two and four. In each case, the eigenbins were used to estimate the original 8-bin data, after which material decomposition was performed. The mean, standard deviation, and contrast-to-noise ratio (CNR) of values in the reconstructed basis and virtual monoenergetic images (VMI) were compared for the original 8-bin data and for the eigenbin data. The pixel-specific eigenbin method reduced photon-counting CT data size by a factor of four with<5% change in mean values and a small noise penalty (mean change in noise of<12%, maximum change in noise of 20% for basis images). The pixel-general eigenbin compression method reduced data size by a factor of 2.67 with<5% change in mean values and a less than 10% noise penalty in the basis images (average noise penalty≤5%). The noise penalty and errors were less for the VMIs than for the basis images, resulting in<5% change in CNR in the VMIs. The eigenbin compression method reduced photon-counting CT data size by a factor of two to four with less than 5% change in mean values, noise penalty of less than 10%-20%, and change in CNR ranging from 15% decrease to 24% increase. Eigenbin compression reduces the data transfer time and storage space of photon-counting CT data for applications that require rapid initial reconstructions.

Research on Benefit Evaluation and Optimization Strategy of Rural Ecological Products Value Realization

As the cornerstone of human existence and progress, ecological products indispensably support the sustainable development of society. In order to deeply discuss the benefits and achievements of eco-product value realization in various regions, this paper sorts out the research status of the evaluation system and method of rural eco-product value realization in Pukou District, and constructs an evaluation system of eco-product value realization benefit including 11 indicators of three subsystems: ecological benefit, economic benefit and social benefit. Using entropy weight method to measure the value realization benefit of rural ecological products. The results show that: (1) the overall development level of Pukou District is relatively high, and the work of promoting the realization of the value of rural ecological products is in good condition, and the overall development is in the growth stage; (2) From 2017 to 2022, the comprehensive benefits of ecological products in Pukou District have been steadily improved, and the comprehensive benefits have increased from 0.385 to 0.642; (3) Ecological benefits increased significantly, followed by economic benefits, and social benefits increased in a downward trend.

Production of lignin-containing nanocellulose from six types of unpretreated lignocellulosic biomass by a one-step process

Lignin-containing nanocellulose (LCN) shows great potential in the fabrication of high performance bio-based materials, and suitable raw materials may achieve the production of LCN in a more economical approach. Therefore, in this study, the morphology, chemical and supramolecular structure of six types of lignocellulosic biomass (Broussonetia papyrifera bark, moso bamboo, rattan, balsa wood, poplar wood and fir wood) were analyzed for the production of LCN by using pure oxalic acid dihydrate (OAD). The results revealed that BPBs is a natural available cellulose-rich materials with extremely high cellulose content, low lignin content, and loosely connected cellulose chains. Compared with the other five types of lignocellulosic biomass materials, the hydrolysis of BPBs without any pretreatments by using OAD produced higher yield of LCN with much more uniform size distribution and smaller size. LCN from BPBs had higher crystallinity and thermal stability than that from the other five lignocellulosic biomass. The finding in this study indicated that Broussonetia papyrifera bark without any pretreatment was a favored material for high yield production of LCN compared with the other woody materials, which provided an economically realizable method on the efficient and high yield production of LCN from unpretreated BPBs by using OAD hydrolysis.

A Morphological Approach to Development of a Process for Measurement Uncertainty Estimation

The problem of increasing the reliability of uncertainty estimation of measurement results is considered. The purpose of this work was to justify the application of the process approach to the formation of the algorithm of uncertainty estimation on the basis of morphological analysis. It is theoretically substantiated that from the standpoint of the system approach to achieving an acceptable degree of reliability of measurement uncertainty estimates it is necessary to implement a process approach to the formation of the estimation method as an algorithm of actions. The main stages of the estimation process are defined. It is established that each stage of the estimation process can be realized by alternative methods. The morphological box method as a realization of morphological analysis is proposed as a basis for its solution. A morphological box design of the uncertainty estimation process with an open architecture is presented, based only on commonly accepted methods and approaches for realizing each step of the process. Two aspects of the application of the morphological box method are identified. On the one hand, the morphological box allows to form an algorithm of the uncertainty assessment process, maximally acceptable for the laboratory conditions, as a combination of process steps, based on the task at hand, combining different variants of realization of these steps. On the other hand, the morphological box acts as a tool for development of new methods of realization of various stages of the uncertainty assessment process. Examples of using the morphological box method to develop alternative algorithms of the uncertainty estimation process of the same measurement method and to develop new methods of realization of different stages of the estimation process are considered.

Low complexity, high throughput, energy efficient, pipelined and reconfigurable ASIC realization architecture for multi-layer perceptron models

There has been continuously growing research interest in Artificial Neural Networks (ANNs) due to their vast acceptance in many real-world applications. This has led to the appearance of a variety of realization methods for multilayer perceptron (MLP) inference models. In this paper, we propose a generalized 3-stage, configurable, multiplier-less, massive parallel realization architecture for MLP inference models. We use offset binary coded distributive arithmetic (OBC-DA), which uses LUTs to reduce hardware requirements, to realize internal computing units of MLPs. The designing efforts to achieve a reduction in resource requirements are two-fold; (i) reduction in LUT size itself, which is achieved by exploiting symmetry induced by OBC-DA and thereby reducing LUT size by 50%, and (ii) reduction in total number of LUTs which is attained by sharing the LUTs. The resource efficiency of the proposed architecture is further improved by decomposing the LUTs into parallel and smaller LUTs. Moreover, the resource efficiency is also enhanced by utilizing the symmetry among the inputs in the MLP layer. The ASIC synthesis results for underlying MLPs establish that the proposed method for the realization of MLPs is much more efficient than the earlier reported methods and coincides with the findings of the generalized hardware-timing complexities.

Intelligent architecture and platforms for private edge cloud systems: A review

The development of cloud, fog, and edge computing has led to great advances in reducing latency and saving bandwidth, and these methods have therefore been broadly applied in various domains, including healthcare, transportation, and the Internet of Things (IoT). Traditional edge computing solutions have proven to be insufficient in fulfilling the demanding prerequisites of low latency and high data rates. Additionally, publicly available edge cloud solutions fail to meet the required standards for ensuring privacy protection. Consequently, Private Edge Cloud Systems (PECSs) have garnered attention as a prospective solution owing to their capacity to mitigate privacy risks and their significant computing capacity. PECS research has seen significant growth, but there is a lack of detailed review of its issues, approaches, and applications in the literature. To explore the potential application value of PECS, this paper provides a systematic review of intelligent platforms and architecture for PECSs. Specifically, an overview of the fundamental characteristics of PECSs is provided. Second, we classify intelligent platforms and architectures and analyze their implementation techniques and realization methods. Third, we discuss four specific application scenarios. Finally, promising future research directions are discussed. The findings of this research show that PECSs can effectively meet the requirements for low latency and privacy protection and are a fertile domain for further research.

Actual methods of realization of orbital angular moments of photons in scientific and technical systems

The article discusses several highly effective methods for realizing the orbital angular momentum of photons in laser beams, including the use of phase plates, metasurfaces and injection into a fiber. These methods provide effective compensation for turbulence aberrations in wireless telecommunications systems.

Superfluid excitations in rotating two-dimensional ring traps

We studied a rotating Bose–Einstein condensate confined in ring trap configurations that can be produced starting with a bubble trap confinement, approximated by a Mexican hat and shift harmonic oscillator potentials. Using a variational technique and perturbation theory, we determined the vortex configurations in this system by varying the interparticle interaction and the angular velocity of the atomic cloud. We found that the phase diagram of the system has macrovortex structures for small positive values of the interaction parameter, and the charge of the central vortex increases with rotation. Strengthening the atomic interaction makes the macrovortex unstable, and it decays into multiple singly charged vortices that arrange themselves in a lattice configuration. We also look for experimentally realizable methods to determine the vortex configuration without relying upon absorption imaging since the structures are not always visible in the latter. More specifically, we study how the vortex distribution affects the collective modes of the condensate by solving the Gross–Pitaevskii equation numerically and by analytical predictions using the sum-rule approach for the frequencies of the modes. These results reveal important signatures to characterize the macrovortices and vortex lattice transitions in the experiments.

Analysis of the Methods for Realization of Low-Power Piezoelectric Energy Harvesting Circuits for Wearable Battery-Free Power Supply Devices

This paper presents a comprehensive review of the design and implementation methods of low-power piezoelectric energy harvesting circuits, which in the last few years have gained an extremely large range of applications like the power sources of wearable electronic devices, such as biometrical sensors. Before examining the electronic circuitries of the self-supplied power devices, an overview of the structure, equivalent electrical circuits, and basic parameters of the piezoelectric generators and MEMSs as energy harvesting elements is presented. The structure of energy storage elements (parallel-plate capacitors and thin-film supercapacitors), suitable for this type of application, is also presented. The description of these components from an electrical point of view allows them to be easily workable when connected to the various power conversion electronic circuits. Based on an overview of the structure and the principles of operation, as well as some analytical expressions for energy efficiency evaluation, a comprehensive comparative analysis is presented. Depending on the advantages and disadvantages of the known circuit configurations, the basic electrical and design parameters are systematized in tabular form. Practical realizations of piezoelectric power conversion circuits are also presented in graphic form, ensuring the optimal value of energy efficiency and compactness in the construction of the devices.

Low Carbon Logistics Research Review

The logistics industry is one of the main industries of "carbon emission", and low-carbon logistics is also related to the realization of the goal of "carbon peak" and "carbon neutrality". This paper uses the literature research method, takes the concept of low-carbon logistics as the starting point, and combs the relevant research progress. Firstly, this paper introduces the concept of low-carbon logistics from the perspective of low-carbon and circular economy, and introduces the realization method of low-carbon logistics. Secondly, it reviews the progress of literature research from the aspects of low-carbon transport, low-carbon packaging, low-carbon storage, and low-carbon policy. It is concluded that the main direction of future research will be to shift from traditional local low-carbon research to systematic low-carbon research, use modern information technology and intelligent tools to help low-carbon logistics, and pay attention to the local problems brought by China's logistics practice.

Diffeomorphic structure of evolution equations

In this work the problem of the consistent treatment of multidimensional quadratic Hamiltonians is analyzed and developed from the geometric point of view. To this end, two approaches to the treatment for the problem are studied and developed: the pure matrix representation that involves Madelung type transforms (maps), and the evolution type based in a group manifold endowed with the symplectic groups and their coverings. Some of our goals is to introduce important geometric and group theoretical tools in the proposed approaches, such as Fermi normal coordinates in the first and a generalization of the method of nonlinear realizations in the second one. Several interesting results appear and some examples of application of these concepts in different physical scenarios are developed and presented such as the relationship with the Zeldovich approximation for the dynamic of large-scale cosmological structure, the classic case of Gertsner waves or the evolution problem with an inverted Hamiltonian of Caldirola-Kanai type.

유형론적 관점에서 본 중한 병렬구조 비교연구

Parallelism means that two grammatical units are connected in an equal relationship, and is a linguistic structure that universally exists among the world's languages. However, because the realization method of the parallel structure is different for each language, this paper conducted a comparative analysis of the parallel structure of Korean and Chinese, especially parallel phrases, from a typological perspective to examine the commonalities and differences as well as the causes. This can be summarized as follows: The Chinese-Korean parallel structure can be divided into several types depending on the classification criteria. Based on the semantic type, it can be broadly classified into 'equal type', 'transitional type', and 'selective type', and depending on the part of speech of the parallel item, 'name-name parallel structure', 'dong-dong parallel structure', and 'type- It was confirmed that it can be divided into a ‘parallel structure’. In addition, this paper examined the syntactic function of the Chinese-Korean parallel structure in four aspects, including the degree of marking of the Chinese-Korean parallel structure, the syntactic position distribution of the parallel structure, the position of the conjunction, and whether heterogeneous parallelism is possible. In addition, the similarities and differences between Korean and Chinese parallel structures were explained in connection with the language types of Chinese and Korean and the theory of linguistic typology.

Inspiration from hyperbolic paraboloid folding for clothing design

PurposeThis study aims to increase the novelty of clothing design and fabric texture. The element library that can be used for design is systematically summarized. The element database can also be continuously filled according to the existing logic to realize the diversity of design. Improve the theory of fashion design, expand the designer's design ideas and improve design efficiency. Clear design steps and logic can help students and machines learn the design process and promote the development of intelligent design. And verify the feasibility of the simulation software to assist pleated clothing design.Design/methodology/approachFirstly, according to the logical framework of origami theory, different innovative designs and combined designs are made for the basic units of hyperbolic paraboloid, and the element library that can be used for design is systematically summarized. This database can also be continuously filled according to the existing logic to realize the diversity of design. Secondly, it summarizes three methods of pleated element filling clothing – uniform filling method, the irregular filling method and geometric addition method – that improve the theory of fashion design, expand the designer's design ideas and improve design efficiency. Clear design steps and logic can help students and machines learn the design process and promote the development of intelligent design. Finally, the virtual software is used to simulate the effect of pleated clothing, and the three-dimensional simulation software 3dclo is used to make an empirical study on the application of hyperbolic paraboloid origami in clothing pleated design to verify the feasibility of the simulation software to assist pleated clothing design.FindingsThe theoretical results of hyperbolic paraboloid origami are collected and arranged to establish the element library of hyperbolic paraboloid origami. The results expand the designer's design ideas and auxiliary design technology and improve the design efficiency using a sample of hyperbolic paraboloid fabric to verify its practicability and three-dimensional clothing simulation software for exploring the design. The design rules of hyperbolic paraboloid clothing and the realization method of fabric are summarized, including the expansion and combing of elements, the application of size and shape and the method of combination.Research limitations/implicationsOwing to the hyperbolic paraboloid origami’s length shrinkage, the loose computation of clothing requires targeted computation. This paper solely applies a paper model for estimating the shrinkage, and then we tend to subsequently explore the way to precisely compute the porosity, to determine the existing differences in the two-dimensional shrinkage of hyperbolic paraboloid creases of varying materials and to know if the clothing after large-scale production is capable of reaching the anticipated value.Practical implicationsThe exploration of this experiment brings a new 3D experiment process to the design process.Social implicationsThis experiment brings new possibilities for the development of virtual fitting and virtual display in the industry.Originality/valueThis study combines hyperbolic paraboloid origami and clothing and combs and expands the unit with logical thinking to expand the designer's design ideas.

Voltage sag source location based on power polarity and twin characteristics matching

AbstractPrecisely locating the voltage sag sources is significant for improving power quality and clarifying the responsibilities of both power supply and consumption. However, the existing location models are complex, computationally intensive, and influenced by the measurement error and fault type, which have low positioning efficiency and large errors. Therefore, this paper proposes a method for locating voltage sag sources based on power polarity and twin characteristics matching. The method firstly uses the polarity of the sequence sag component disturbance reactive power at the monitoring point to determine the sag line. Secondly, the basic realization method of the twin power system is discussed, and the twin characteristics are defined by combining the positive and negative sequence sag component disturbance reactive power and the twin database is established. Thirdly, the spectral norm and Pearson product‐moment correlation coefficient are used to define the data matching degree, and the precise location model of the sag source is established with the objective function of maximizing the data matching between the twin characteristics of the preset and actual sag. Finally, the Improved Whale Optimization Algorithm is used to solve the location model. The correctness and superiority of the proposed method is verified based on IEEE33 node modelling.

Digital Twin Technology of Human–Machine Integration in Cross-Belt Sorting System

The Chinese express delivery industry processes nearly 110 billion items in 2022, averaging an annual growth rate of 200%. Among the various types of sorting systems used for handling express items, cross-belt sorting systems stand out as the most crucial. However, despite their high degree of automation, the workload for operators has intensified owing to the surging volume of express items. In the era of Industry 5.0, it is imperative to adopt new technologies that not only enhance worker welfare but also improve the efficiency of cross-belt systems. Striking a balance between efficiency in handling express items and operator well-being is challenging. Digital twin technology offers a promising solution in this respect. A realization method of a human–machine integrated digital twin is proposed in this study, enabling the interaction of biological human bodies, virtual human bodies, virtual equipment, and logistics equipment in a closed loop, thus setting an operating framework. Key technologies in the proposed framework include a collection of heterogeneous data from multiple sources, construction of the relationship between operator fatigue and operation efficiency based on physiological measurements, virtual model construction, and an online optimization module based on real-time simulation. The feasibility of the proposed method was verified in an express distribution center.