Example Of Application Research Articles

Cryogenic Fiber-coupled Electro-optic Characterization Platform for High-speed Photodiodes

We have developed a cryogenic characterization platform for ultrafast photodiodes, whose time domain responses are extracted by electro-optic sampling using femtosecond laser pulses in a pump-probe configuration. The excitation of the photodiodes with the pump beam and the electro-optic sampling crystals with the probe beam are realized in a fully fiber-coupled manner. This allows us to use the characterization platform at different temperatures, ranging from cryogenic to room temperature. As an application example, we characterize the time-domain response of commercial p-i-n photodiodes with a nominal bandwidth of 20 GHz and 60 GHz at temperatures of 4 K and 300 K and in a large parameter range of photocurrent and reverse bias. For these photodiodes, we detect frequency components up to approximately 250 GHz, while the theoretical bandwidth of our sampling method exceeds 1 THz. Our measurements demonstrate a significant excitation power and temperature dependence of the photodiodes’ ultrafast time responses, reflecting, most likely, changes in carrier mobilities and electric field screening. Since our system is an ideal tool to characterize and optimize the response of fast photodiodes at cryogenic temperatures, it has a direct impact on applications in superconducting quantum technology such as the enhancement of optical links to superconducting qubits and quantum-accurate waveform generators.

Probability equivalent level for CoVaR and VaR

For a given risk, the well-known classical definition of Value-at-Risk (VaR) does not take into account possible interactions with other observable risks. For this reason, conditional VaRs that capture contagion effects and tail dependence among risks, such as the Co-Value-at-Risk (CoVaR), have been defined and studied in recent literature. In this paper we study conditions that guarantee, in the bivariate setting, the ordering between VaR and CoVaR, allowing to understand which, among the two measures, is more or less conservative than the other. By doing this, we introduce the notion of Probability Equivalent Level of CoVaR-VaR (PELCoV), which is the VaR value of the observable variable for which VaR and CoVaR coincide, and we study some of its properties such as uniqueness and boundedness. In particular, we show that its properties are entirely explained by the copula that describes the dependence between risks, and we provide a list of copulas for which PELCoV is explicitly available, and for which it is or not bounded. A practical applicative example is also presented.

Decomposition of Equations of Nonlinear Affine Control Systems and its Application to the Synthesis of Regulators

The article deals with the decomposition of nonlinear differential equations based on the group-theoretic approach. At the beginning, the decomposition of differential equations of linear systems using a transition matrix of state is presented, and then, based on the theory of continuous groups (Lie groups), the process of decomposition of differential equations of nonlinear systems is shown. The decomposition approach is based on the isomorphism theorem of the space of vector fields and Lie derivatives, which allows us to consider vector fields as differential operators of smooth functions. A formula is derived about the adjoin representation of a Lie group in its Lie algebra, which actually determines the finding of a vector field that characterizes the interaction of two or more vector fields. The Lie algebra of derivatives makes it possible to determine the infinitesimal action of the Lie group, i.e. the linearization of this action is carried out (transformation of the points of the trajectory space of the original system in a small neighborhood). Decomposition allows, as in the linear case, to separate the finding of an action (only locally) of a group of transformations from the transformed points themselves. For linear systems, this separation is global. It is also shown that the decomposition of linear equations is a particular case of the decomposition of nonlinear equations. An algorithm of the method of model predictive control with Gramian weighting using this decomposition is presented. A practical example of decomposition and application of the model predictive control for stabilization of a nonstationary nonlinear system is considered.

Problems and Prospects of Administrative Prejudice in the Criminal Law of Russia

Introduction. The emergence and then increase during the current decade of the number of corpus delicti with administrative prejudice in the acting Criminal Code of the Russian Federation (hereinafter referred to as the Code, the Criminal Code of the Russian Federation) proves the good result achieved by the legislators in implementation of this legal construct of the Special part of the Code, as well as the efficiency of this tool in fulfilling the current policy of our state referring to the criminal law. Every year a number of such kind of corpus delicti in the Code is only increasing, which indicates the correctness of the policy taken by the legislators more than ten years ago on integrating it into the Code. The aim of the study is to identify the features and problems in the legislative design of the corpus delicti with the administrative prejudice in the Russian criminal law and to propose ways to optimize the corpus delicti of particularly this kind of offences.Materials and Methods. The methodological basis of the research are the provisions of the national criminal law, for which the corpus delicti with administrative prejudice are foreseen, studied both in historical and present day aspects, criminal laws of the near-abroad countries, as well as the scientific works of the researchers studying this topic. The following methodological tools have been used during the research: the general scientific, as well as some specific scientific methods, i.e., dialectical, system analysis, legalistic, comparative legal and other methods.Results. The historical and present day aspects of the administrative prejudice application in design of corpus delicti, the features of design of the corpus delicti with administrative prejudice and various variants of prejudice integrated by the legislators in the acting criminal law of the Russian Federation have been analysed. The legislative examples of the administrative prejudice application in some of the Criminal Codes of the CIS countries have been provided. The authors’ own standpoint regarding the presence of the corpus delicti with administrative prejudice in the Criminal Code of the Russian Federation has been expressed. The authors’ conclusions and suggestions on optimisation and expansion of such norms in the acting criminal law of the Russian Federation have been made. The tendency for the further increase of the number of corpus delicti with administrative prejudice in the acting Criminal Code of the Russian Federation has been supported.Discussion and Conclusion. The conducted research is considered important for the Russian juridical science due to the classification of the prejudices presented by the authors, which implies the availability of "classical" (simple) and "double" (complex) administrative prejudice in the corpus delicti. The amendments proposed by the authors to a number of provisions of the Special part of the Code, in particular, to Articles 180, 213, 330 of the Criminal Code of the Russian Federation about including the administrative prejudice, as a mandatory feature of the objective side of the above corpus delicti, are recommended to be used in further research of the corpus delicti with administrative prejudice

Black Phosphorene with Removable Aluminum Ion Protection for Enhanced Electrochemical Nitrogen Fixation

AbstractThe exceptional electronic properties and potential applications of black phosphorus (BP) have garnered significant interest in the fields of electrochemical catalysis and energy storage. However, its poor environmental stability severely hampers its practical use. In this study, an innovative strategy is proposed to protect fresh black phosphorene (BPene) against oxidation by adsorbing or weakly bonding aluminum ions (Al3+) onto its surface, while facilitating their self‐removal under operating conditions. By leveraging Al3+‐protected black phosphorene (Al‐BPene) as a catalyst for the electrocatalytic reduction of nitrogen to ammonia (NH3), the effectiveness of this removable Al3+‐protected strategy is demonstrated. Quantitative analysis reveals that Al‐BPene maintains structural and compositional stability for over 7 days under ambient conditions, while the Al3+ can be readily eliminated through self‐desorption or dissolution in the electrolyte. With highly active sites pre‐protected, Al‐BPene exhibits a striking NH3 yield rate of 55.1 µg h−1 mg cat−1 and a Faradaic efficiency (FE) of 66.5% in alkaline media, as exemplified by the representative application example. Moreover, it is found that the prepared Al‐BPene can tolerate a thermal environment, and a higher NH3 yield rate of 75 µg h−1 mg cat−1 at 60 °C is recorded. Undoubtedly, these findings pave the way for broader applications of BPene.

Exploring the memory: existing activity-dependent tools to tag and manipulate engram cells.

The theory of engrams, proposed several years ago, is highly crucial to understanding the progress of memory. Although it significantly contributes to identifying new treatments for cognitive disorders, it is limited by a lack of technology. Several scientists have attempted to validate this theory but failed. With the increasing availability of activity-dependent tools, several researchers have found traces of engram cells. Activity-dependent tools are based on the mechanisms underlying neuronal activity and use a combination of emerging molecular biological and genetic technology. Scientists have used these tools to tag and manipulate engram neurons and identified numerous internal connections between engram neurons and memory. In this review, we provide the background, principles, and selected examples of applications of existing activity-dependent tools. Using a combination of traditional definitions and concepts of engram cells, we discuss the applications and limitations of these tools and propose certain developmental directions to further explore the functions of engram cells.

Available wrench set robustness under hybrid joint-space control to uncertain wrench for a cable-driven parallel robot

For a overconstrained cable-driven parallel robot (CDPR), the number of cables is more than the number of the moving platform degrees of freedom. Therefore, a hybrid joint-space control method is used, where as many cables as the moving platform degrees of freedom are kinematically controlled, and the redundant ones are tension controlled. However, the selection of which cables to tension control is not straightforward. This work aims at evaluating the maximum value of the resistance to the wrench deviation, while tension-controlling a chosen cable set, by computing a performance index called available wrench set robustness (AWSR). In this case, the wrench deviation refers to the difference between the actual wrench and the nominal model wrench, which is related to the wrench uncertainties influenced by elements such as varying mass, shifted centre of mass and environmental disturbances. Firstly, owing to the inhomogeneous wrench deviation, a normalization method was proposed. Based on this, geometrically, the AWSR is defined as the minimum distance from the nominal wrench to the hyperplane boundary of available wrench set. As an application example of a planar CDPR with four cables and a spatial CDPR with eight cables, a comparison with previous methods illustrated that the proposed method significantly increased the range of wrench deviation, and this avoids situations where the configuration is not feasible using the traditional method. Therefore, the proposed method is more suitable for uncertain wrenches.

Solution-Processed Sb2S3-Based Heterojunction for Self-Powered Broad Band Weak Light Detection.

Antimony sulfide (Sb2S3) has recently regained the attention of photovoltaic researchers as a promising solar absorber; however, its application for the detection of white light remains relatively unexplored. Herein, we report on the self-powered heterojunction photodetector based on a device-grade Sb2S3 film made at low temperature with solution processing. The Sb2S3 absorber film was prepared by single-step spin coating of a novel precursor ink using antimony trichloride as the antimony source along with the low melting thioacetamide as the sulfur source in 2-methoxyethanol, a low boiling environmentally friendly solvent. A simple TiO2/Sb2S3 heterojunction device made by using the film shows a power conversion efficiency of 1.22% without any hole transporting layer. Interestingly, the self-powered photodetector performance of the device under white light exhibits a high on/off ratio of 2.2 × 104 under 1 sun illumination. Moreover, this optical filter-free ultraviolet-visible absorbing near-infrared blind photodetector is equally capable of detecting both strong and weak white light, with a response time of 98 ms. Further, an example of the real-life application of the device is successfully demonstrated by constructing a weak light-detecting sunlight tracking system.

Integrated Sensors for Soft Medical Robotics.

Minimally invasive procedures assisted by soft robots for surgery, diagnostics, and drug delivery have unprecedented benefits over traditional solutions from both patient and surgeon perspectives. However, the translation of such technology into commercialization remains challenging. The lack of perception abilities is one of the obstructive factors paramount for a safe, accurate and efficient robot-assisted intervention. Integrating different types of miniature sensors onto robotic end-effectors is a promising trend to compensate for the perceptual deficiencies in soft robots. For example, haptic feedback with force sensors helps surgeons to control the interaction force at the tool-tissue interface, impedance sensing of tissue electrical properties can be used for tumor detection. The last decade has witnessed significant progress in the development of multimodal sensors built on the advancement in engineering, material science and scalable micromachining technologies. This review article provides a snapshot on common types of integrated sensors for soft medical robots. It covers various sensing mechanisms, examples for practical and clinical applications, standard manufacturing processes, as well as insights on emerging engineering routes for the fabrication of novel and high-performing sensing devices.

Predefined-time sliding mode control based on exact time disturbance observer for second-order systems with matched and mismatched disturbances

This paper’s primary motivation is to present a globally predefined-time sliding mode control (PtSMC) strategy to stabilize a class of second-order systems subjected to matched and mismatched disturbances. To achieve this, the paper proposes a new exact time disturbance observer (DOB) based on a terminal time regulator, which accurately estimates the disturbances within a prescribed time, effectively preventing the system state from escaping to infinity due to high gains and overestimation. In addition, a new predefined-time sliding mode variable with the estimation of DOB is developed to ensure a predefined-time convergence on the sliding mode phase against mismatched disturbances. The proposed DOB-based technique can alleviate the chattering resulting from the use of an overestimated gain, in contrast to the controller without employing a DOB. Furthermore, a predefined-time reaching law is introduced to guarantee a global predefined-time convergence. This paper establishes the stability of the disturbed second-order system under the proposed controller through strict Lyapunov analysis. The novelty of the proposed method lies in its global predefined-time convergence, chattering-reduced properties and robustness against matched and mismatched disturbances. Finally, numerical simulations and application examples validate the proposed methodology’s effectiveness.

Commonsense reasoning and automatic generation of IoT contextual knowledge: An Answer Set Programming approach

The increasing interest in searching for intelligent, proactive, and autonomous environments leads to the necessity of accessing contextual knowledge: knowledge about changes that occur in the environment and even about the capabilities of the devices that compose a specific deployment. This knowledge would allow carrying out commonsense reasoning (exhibit human-like comprehension) according to the current situation, enabling decision making and task planning. One of the most used forms of knowledge specification is ontologies, but ontological knowledge modeling is usually a manual process, making it a costly task. In addition, ontologies can be found that have been designed for specifying knowledge about IoT-related concepts, but many are overly complex or do not have an adequate orientation that allows modeling the system’s capabilities. There are many different types of reasoners, but Answer Set Solvers are of particular interest for commonsense reasoning. This paper proposes an ontology to represent contextual knowledge about IoT device capabilities, and an Answer Set Programming-based reasoner for the automatic generation of this knowledge. The main challenge is to demonstrate that contextual knowledge can be generated through commonsense reasoning processes implemented with Answer Set Programming, and that the resulting knowledge can be used for decision making (also through commonsense reasoning). This work shows how the generated knowledge is correct through different use cases, presents an application example that demonstrates the benefits of using the generated knowledge, and analyzes the reasoner performance to demonstrate that the execution time is adequate.

Log-Linear and Configural Analysis of Intra-Individual Time Series under Consideration of Serial Dependence.

Serial dependence often prevents researchers from obtaining unbiased parameter estimates. In this article, we propose taking serial dependence into account, and exploiting the information that comes with serial dependence. This can be done in the form of shifted variables that are included in addition to the original variables, when models are specified. This way, models become more complex but relations can be considered that, otherwise, cannot be analyzed. Two fields of application are discussed. The first is log-linear modeling. This method is variable-oriented, but it has found applications in person-oriented research. The gain from including shifted variables in log-linear models is that new, specific variable relations can be analyzed. The second field is that of Configural Frequency Analysis. This method is person-oriented, and it allows researchers to detect local relations that, without consideration of shifted variables, cannot be detected. Application examples are given in the context of single-case analysis.

Novel voltage Multiplier/Divider-based active square law detector for heartbeat measurement

This paper describes a novel active voltage detector that is capable of processing analog signals with levels from units of mV up to 250 mV. An advantage of the proposed circuit is that the relationship between output voltage and input level is not linear but quadratic, which increases the sensitivity when processing low-level signals. The presented solution has tuning parameters for correction or intentional shift of internal DC offset and electronic control of the output signal gain level. The application example presents detection of beats per minute (BPM) in the range of 6–300 BPM, which corresponds to a frequency range of 0.1–5 Hz. The advantage of the presented solution is that the output of the circuit is directly a digital signal compatible with TTL levels, so there is no need for any analog to digital converter to produce a digital signal for further processing.

Review of Lightweight Vibration Isolation Technologies for Marine Power Devices

Vibration induced by marine power devices (MPD) transmitting to the hull structure is one of the most important factors that cause ship vibration and underwater sound radiation. Vibration isolation technologies (VIT) are widely applied to reduce the vibration transmission. However, the overweight issue of VIT for marine power devices is a currently challenging engineering problem. The current reserve of lightweight and high-efficiency VIT for MPD and relevant theoretical and design research are seriously insufficient. This article first elaborates the causes of the overweight problem of VIT for MPD: (1) failing to grasp the quantitative law; (2) single vibration suppression mechanism. Then, it systematically sorts out the technical methods and application examples with potential to solve the overweight problem, such as dynamic optimization design, lightweight material method, novel intermediate mass structures, distributed dynamic vibration absorbers (DDVAs), locally resonant structures (LRS), particle damping (PD), quasizero stiffness isolators (QZSI), and active vibration control (AVC) technologies. Finally, the future development of lightweight VIT for MPD is prospected. It can be used as a reference for marine vessel vibration attenuation research and engineering design.

Analisis Penerapan Dan Fungsi Algoritma Pemrograman Pada Komputer

Over time, the progress of science, technology and information is growing very rapidly. One of the things related to this problem is that the children of the nation must now master and study the developing science and technology. Utilizing science technology is now very important. The computer is one example of a technological tool that can be used. Regarding computers, we must first study in detail about programming algorithms that have applications and functions for us in education and everyday life. The purpose of writing this article is to examine the application and function of programming algorithms. Then the writing of this article use the literature study method and library research, namely by studying systematically and structured about programming algorithms. Data collection is done by online books or offline books, reputable scientific journals and sources from Google Scholar, Digital Library, website research and so on. The result of writing this article is that the application or presentation of programming algorithms can be seen in examples of application in mathematics. Writing an algorithm is not bound by a certain rule, but it must be clear what it means for each step of the algorithm. Many functions are very important in programming algorithms. The main function of programming algorithms is to solve a problem. This algorithm is an important thing in the activity of making a program.

Scaling factors for 1-D ground response amplification in a soft soil basin

Basin presence is believed to affect the ground surface response due to earthquakes, particularly in areas around the basin edge. Previous studies showed that 1-D and 2-D wave propagation analyses resulted in significant differences in amplification at the basin edge. However, the link between 1-D and 2-D responses has not been studied for engineering practices. In practical application, seismic studies were commonly performed using 1-D analysis, for example, to develop a city micro-zonation map. Based on practical considerations, it is necessary to estimate the scaling factor for the 1-D analysis by considering the basin presence, particularly for one containing soft soil. There are three stages carried out in this study. The first stage: collecting data on some basin geometries for the 2-D modeling references and then defining selected site class and input motions. The second stage: modeling 1-D and 2-D wave propagation using D-MOD and Fast Lagrangian Analysis of Continua (FLAC), respectively. The third stage: comparing spectral acceleration resulting from the 1-D and 2-D analyses to obtain the scaling factors. This research studied and reported the relationship between PGA values varied as 0.2 g, 0.3 g, 0.4 g, and 0.5 g, basin geometry (e.g., the angle was set to 5°, 10°, 15°, 30°, and 45°, with depth and width variations of 0.0125, 0.025, 0.05, 0.075, 0.1, 0.2, and 0.4, while the basin width was adjusted to 500 m, 1 km, 2 km, and 4 km), and the spectral acceleration in several observation points on the ground surface. Based on this evaluation, a series of scaling factors are proposed. These factors can be used for spectral acceleration from available hazard maps, commonly developed based on 1-D analysis. The application example of this scaling factor is presented in this study, using the Bandung Basin case.

Assessing the Value of Information Technology for the Decarbonization of Freight Transport

In its first part, the paper gives a summary of the levels of emissions resulting from each mode of transport by use of statistics at the European and global levels. It also summarizes the main measures and policies that have been put forward for the reduction of freight transport greenhouse gas (GHG) emissions. To facilitate the subsequent analyses, these measures and policies are classified into four categories, i.e., affecting the “demand” for freight transport services, shifting freight to less or no carbon-intensive modes, improving the energy efficiency of existing freight vehicles, and transitioning to “clean” fuels including electricity and hydrogen. For each of these categories, their current or potential use of information technology (IT) applications is presented, and key examples of such applications are mentioned. In the final part, a multicriteria analysis is performed with the help of two expert panels which are asked to assess, on a 5-level Likert-type scale, the extent of IT use in each of the four categories. The results show an important or very important contribution of IT in all categories except “improving the energy efficiency of current vehicles”. The highest contribution (with scores higher than 4) appears to be in the category “shifting freight to less carbon-intensive modes”.

Design of a Biohybrid Materials Circuit with Binary Decoder Functionality.

Synthetic biology applies concepts from electrical engineering and information processing to endow cells with computational functionality. Transferring the underlying molecular components into materials and wiring them according to topologies inspired by electronic circuit boards has yielded materials systems that perform selected computational operations. However, the limited functionality of available building blocks is restricting the implementation of advanced information-processing circuits into materials. Here, a set of protease-based biohybrid modules the bioactivity of which can either be induced or inhibited is engineered. Guided by a quantitative mathematical model and following a design-build-test-learn (DBTL) cycle, the modules are wired according to circuit topologies inspired by electronic signal decoders, a fundamental motif in information processing. A 2-input/4-output binary decoder for the detection of two small molecules in a material framework that can perform regulated outputs in form of distinct protease activities is designed. The here demonstrated smart material system is strongly modular and can be used for biomolecular information processing for example in advanced biosensing or drug delivery applications.

SIRAH Late Harvest: Coarse-Grained Models for Protein Glycosylation.

Glycans constitute one of the most complex families of biological molecules. Despite their crucial role in a plethora of biological processes, they remain largely uncharacterized because of their high complexity. Their intrinsic flexibility and the vast variability associated with the many combination possibilities have hampered their experimental determination. Although theoretical methods have proven to be a valid alternative to the study of glycans, the large size associated with polysaccharides, proteoglycans, and glycolipids poses significant challenges to a fully atomistic description of biologically relevant glycoconjugates. On the other hand, the exquisite dependence on hydrogen bonds to determine glycans' structure makes the development of simplified or coarse-grained (CG) representations extremely challenging. This is particularly the case when glycan representations are expected to be compatible with CG force fields that include several molecular types. We introduce a CG representation able to simulate a wide variety of polysaccharides and common glycosylation motifs in proteins, which is fully compatible with the CG SIRAH force field. Examples of application to N-glycosylated proteins, including antibody recognition and calcium-mediated glycan-protein interactions, highlight the versatility of the enlarged set of CG molecules provided by SIRAH.

Error analysis of a highly efficient and accurate temporal multiscale method for a fractional differential system

This work is concerned with a nonlinear coupled system of fractional ordinary differential equations (FODEs) with multiple scales in time. The micro system is a nonlinear differential equation with a periodic applied force and the macro system is a fractional differential equation. We are interested in the effective long-term computation of the solution. The main challenge is how to obtain the solution of the coupled fractional problem at a lower computational cost, which calls for us to develop an effective analysis and computation framework. We derive a periodic auxiliary system to approximate the original system and give error estimates. Then we propose a numerical scheme based on the auxiliary problem and analyze the discrete error. An efficient multiscale algorithm that is also applicable to 2-D and 3-D problems is designed. The results of numerical experiments demonstrate the accuracy and computational efficiency of the proposed multiscale method. It is observed that, the computational time is significantly reduced and the multiscale method performs very well in comparison to the fully resolved simulation. Furthermore, as a particular example of applications, we consider a simplified model of the atherosclerotic plaque growth problem, and simply evaluate the effect of fractional parameter and damping coefficient on plaque growth and discuss the physical implication.