Degree Of Stability Research Articles

On the Impact of Flexibility on Demand-Side Management: Understanding the Need for Consumer-Oriented Demand Response Programs

While demand response programs inherently depend on consumer acceptance in order to be successful, consumer behavior is often overlooked when designing such programs. This paper addresses the impact of consumer flexibility in terms of appliance use on the success of a demand response program, measured through the overall grid stability assessed by the demand’s peak-to-average ratio. We employ a bootstrapping approach to simulate energy communities from real-life consumer data and implement a state-of-the-art demand response system. Results suggest that higher consumer flexibility under real-time energy tariffs implies higher degrees of grid stability, with real-time pricing decreasing the average peak-to-average ratio by 4.6% compared to time-of-use tariff and with highly flexible consumers showing a 23% lower peak-to-average ratio than regular consumers on average. Yet, it is possible for higher flexibility to be detrimental to grid stability by increasing the peak-to-average ratio under a time-of-use tariff. This result highlights the importance of understanding the interplay between different factors that influence energy consumer behavior, a research stream that has been under investigated thus far.

Synthesis and Evaluation of Boronated 4‐Arm Polyethylene Glycol for Application in Transmucosal Drug Delivery

AbstractPolyethylene glycol (PEG) exhibits poor residence on mucosal membranes in the presence of biological fluid, and the influence of PEG boronation on its properties has never been investigated. This project aimed to synthesise boronated 4‐arm PEG and evaluate their pH stability, thermal properties and mucoadhesiveness for potential transmucosal applications. Two types of boronated 4‐armed PEG (B4PEG1 & B4PEG2) and a boronated linear PEG (BLPEG) were synthesized. The degree of boronation, mucoadhesiveness, thermal and pH stability of the polymers were assessed using 1H NMR spectroscopy, viscometry, thermogravimetric analysis and UV–visible spectroscopy, respectively. Gel Permeation Chromatography was employed to confirm PEG boronation. The respective degrees of boronation for B4PEG1 and B4PEG2 were 32.8 % and 46.2 %. The molecular architecture and degree of PEG boronation had a remarkable influence on mucoadhesiveness, pH, and thermal stability. B4PEG2, with a branched architecture and the greatest degree of boronation, exhibited superior mucoadhesiveness and colloidal stability at pH 4 to 8, relative to B4PEG1 and BLPEG. Boronation improved the thermal stability of 4‐arm PEG. This study is the first to demonstrate that PEG boronation could enhance the pH‐sensitivity, thermal stability and mucoadhesiveness of 4‐arm PEG. Boronated 4‐arm PEGs could serve as mucoadhesive polymeric excipients for transmucosal drug delivery.

Understanding the behaviors of ZIF-67 reinforced electrospun carbon nanofibers in the preparation and stabilization

MOFs-reinforced electrospun carbon nanofibers offer a wide range of applications in the field of energy storage. In this study, ZIF-67 nanoparticles were produced and combined with polyacrylonitrile for electrospinning before being stabilized and carbonized to form a carbon nanofiber. BET, FT-IR, EA, DSC, and other techniques were used to investigate the stabilizing behaviors of PAN electrospun fiber with varying ZIF-67 concentrations at different temperatures. Under the same stabilizing settings, it was discovered that PAN electrospun fiber containing ZIF-67 nanoparticles could absorb more oxygen, promoting a higher degree of cyclization and crosslinking. Therefore, it was preferred to prepare carbon nanofibers at a lower stabilization temperature. Importantly, the degree of stability and disorder of the PAN/ZIF-67 stabilized fiber has been described by the FT-IR and the Raman spectra. This research deepens understanding about the formation of MOF-reinforced carbon nanofibers and expands our knowledge of the stability of PAN/MOF hybrid fibers.

Effects of grain boundary and gradient structure on machining property of CoCrFeMnNi alloys

CoCrFeMnNi high-entropy alloy (HEA) has a high degree of thermodynamic stability and excellent ductility, making it a crucial structural material. However, the plastic deformation and microstructural behavior of gradient grain structured CoCrFeMnNi HEA under cutting remain unclear. In this study, the machining properties of gradient nanostructured CoCrFeMnNi HEA under conventional cutting were investigated by molecular dynamics simulation. The results displayed that the small grain gradient samples exhibited grain size softening. The shear angle and cutting ratio increased with the increase in the grain gradient. The grain boundaries of the low grain gradient samples were damaged and slid during the cutting process. Moreover, the dislocation density increased with the increasing grain gradient. The multi-dislocation nodes and the Lomer–Cottrell junction were produced in the grain coarsening gradient samples, contributing to work hardening. The cutting forces from low to high cutting velocities were 136.70, 147.91, 165.82, and 164.79 nN, which confirmed that the cutting forces increased with increased cutting velocity. This work elucidated the cutting mechanism of the nanostructured CoCrFeMnNi HEA and highlighted the influence of the gradient grain sizes.

Social structure of Ukrainian society under the influence of full-scale war: conceptual and empirical research

This research is devoted to analyzing the changes that took place in the social-group structure of Ukrainian society during a year and a half of full-scale war. In order to realize this goal, firstly, the author considers the experience and conceptual foundations of the study of the relationship between war and social structure in Western and Ukrainian science and proposes a concept of the impact of total war on the social structure of a society that resists external aggression. Secondly, several preconditions of social-group dynamics were clarified — both destructive (due to which Ukraine quickly acquired characteristic features of the social structure during the martial law), and constructive (which contributed to the reproduction of pre-war social positions of citizens and a high degree of stability of the social system in general). Thirdly, the dynamics of the distribution of social groups and classes was analyzed every six months of the war based on various open official sources and the data of sociological surveys (in particular, the project “Social Inequality: Wartime Monitoring”, which was initiated by the researchers of the Department of Social Structures of the Institute of Sociology, NAS of Ukraine). The author proves that during the year and a half of the full-scale war, significant (both objective and subjective) socio-structural changes took place among the economically active population, though not linear ones, but with certain fluctuations (a rapid and significant transformation in the first six months and a movement towards gradual recovery over the next year). In particular, a significant (three-fold) increase in two groups (members of the armed forces and the unemployed), which were outside economic activity and accounted for almost a third of the working-age population in September 2022, and a quarter — a year later. The most noticeable changes among the employed population were the reduction in the number and restructuring of the working class and the class of owners, including the oligarchs. Fourthly, the author makes a forecast of further social-group dynamics under favorable and unfavorable developments: how will the quantitative distribution and internal structure of the main classes and groups change, as well as the social structure of the country in general.

Synthesis, characterization, and performance evaluation of polyamide‐Ag@SiO2 Raman substrate

At present, Ag nanoparticles have been widely used as Raman substrates, but their easy oxidation and aggregation have limited practical applications. In order to address the above problems, firstly, tetraethyl orthosilicate as a precursor was applied to synthesis silver coated with silica dioxide nanoparticles (Ag@SiO2). As a result, the surface of Ag nanoparticles is uniformly coated with a thin layer of SiO2 in order to solve the easy oxidation problem without adversely affecting their surface‐enhanced Raman scattering (SERS) performance. Furthermore, Ag@SiO2 nanoparticles were electrostatically deposited onto polyamide (PA) films to form a two‐dimensional PA‐Ag@SiO2 film substrate, thus resolving nanoparticle agglomeration issues and further improving the repeatability of the entire system. As can been from the SERS detection results obtained from the probe molecules and pollutants, the Raman signal on the PA‐Ag@SiO2 thin film substrate has a good degree of sensitivity, stability, and repeatability.

Степень устойчивости репутационного ядра российской власти: обоснование закономерностей выбора в формировании общественного мнения

The article presents the results of the study of the reputation of the Russian power to identify the degree of strength/stability of links between the content characteristics of reputation, using the example of the opinion of residents of two subjects of the Russian Federation – the city of Moscow and the Republic of Komi. In the con-tent of the reputation core, the characteristics that are relatively stable due to their sharing by the majority, and less significant and more mobile characteristics are identified. To solve the problem of substantiating the posi-tion on the degree of stability or dynamism of reputation characteristics, the processing of respondents’ an-swers was carried out using NetworkX and Matplotlib libraries of the Python programming language. A funda-mental conclusion was obtained that there is the greatest strength and, accordingly, stability of the links be-tween the priority reputational characteristics of the Russian public power and further, in descending order, the increase in their dynamism. This conclusion also applies to the reputation of the regional executive power.

Risk management in international supply chains: A review with USA and African Cases

The globalization of supply chains has brought about unprecedented opportunities for businesses to expand their reach and access diverse markets. However, it has also exposed them to a myriad of risks that can significantly impact the efficiency and resilience of international supply networks. This paper provides a comprehensive review of risk management strategies in international supply chains, with a focus on contrasting scenarios in the United States (USA) and African contexts. The United States, as a global economic powerhouse, boasts a highly developed supply chain infrastructure. In this context, risk management primarily revolves around technological disruptions, natural disasters, and geopolitical uncertainties. Advanced technologies, such as real-time tracking and data analytics, play a crucial role in mitigating these risks. Furthermore, the USA's well-established regulatory framework aids in ensuring compliance and reducing legal uncertainties in the supply chain. Contrastingly, African nations, while experiencing rapid economic growth, often contend with infrastructural challenges and political instability. The risk landscape in African supply chains encompasses issues such as inadequate transportation networks, customs inefficiencies, and varying degrees of political stability. Localized solutions, community engagement, and collaboration with international partners emerge as critical components of effective risk management in the African context. This review underscores the importance of adopting a holistic approach to risk management in international supply chains, acknowledging the diverse challenges faced by different regions. It highlights the need for businesses to tailor their risk mitigation strategies based on the unique characteristics of the regions in which they operate. Additionally, the study emphasizes the significance of fostering collaboration between developed and emerging economies, promoting knowledge sharing and technology transfer to enhance the overall resilience of global supply chains. This paper offers insights into the multifaceted nature of risk management in international supply chains, shedding light on specific challenges faced by the USA and African nations. By understanding and addressing these challenges, businesses can enhance their preparedness and agility in navigating the complex landscape of global supply chain management

Cluster stability-driven optimization for enhanced routing in heterogeneous vehicular networks

The new era of the Internet of Things is promoting the evolution of self-driving vehicles into connected and autonomous vehicles (CAVs). The deployment of CAVs in smart cities is highly dependent on the performance of their underlying networks known as vehicular networks. Designing an effective clustering approach is of great importance in such dynamic networks as it can significantly improve the reliability and scalability of the routing protocols. In this paper, we consider a heterogeneous vehicular network architecture that supports vehicle-to-vehicle and vehicle-to-infrastructure communications based on IEEE 802.11p and cellular networks (LTE/5G) with direct communications, namely cellular vehicle-to-everything (C-V2X) technologies. We introduce a novel clustering scheme for real-time routing based on the proposed network architecture. We formulate the problem of optimal clustering for connected and autonomous vehicles (OCCAV) and show that the problem is NP-hard. We then develop a clusters' stability maximization algorithm (CSM), which utilizes the stability degree of vehicles over a prediction horizon to efficiently solve the optimization problem in real-time. The algorithm is used within a rolling horizon framework for continuously solving the problem, making the resulting clusters adaptive to future traffic dynamics. We propose a hybrid routing protocol based on our clustering scheme, aiming to improve the packet delivery ratio and reduce the average delivery delay. For evaluation purposes, we use extensive realistic simulations based on mobility scenarios validated using real vehicular trajectories. The results demonstrate that our clustering scheme improves the alternative algorithms in terms of the average cluster head duration, cluster head change rate, cluster member duration, and overall stability by 61%, 62%, 44%, and 52%, respectively. CSM also outperforms clustering overhead by 54%. Compared to the other cluster-based routing, our scheme also achieves a higher packet delivery ratio by up to 30%, and a lower average delay by up to 52%. To provide an in-depth analysis of the optimality of our scheme and its alternatives, we also use the Gurobi optimizer to find an optimal solution to the OCCAV problem. The results suggest that our scheme can achieve near-optimal cluster stability.

Interplay Among Self-Regulation Processes Over Time for Adolescents in the Context of Chronic Stress

ABSTRACT Developmental changes in self-regulation are theorized to underlie adolescents’ engagement in risky behaviors, physical health, mental health, and transition to adulthood. Two central processes involved in self-regulation, self-management (i.e. planning, concentration, and problem-solving) and disinhibition (e.g. distractibility and impulsivity) appear to develop asynchronously and may be differentially activated based on contextual factors. Using a sample identified based on exposure to chronic stressors, we investigated how changes in self-management and disinhibition affect each other over time and whether these changes occur differently for boys and girls. Youth aged 8–16 (N = 708) who attended a U.S. summer camp self-reported on components of disinhibition and self-management. Cross-lagged structural equation modeling revealed a reciprocal relationship between self-management and disinhibition, with anger coping and distractibility emerging as critical factors in shaping this relationship. Changes in concentration, planning, and problem-solving were components of self-management that drove subsequent changes in boys’ disinhibition (for girls, however, planning did not). Autocorrelations for both broad processes remained strong from year to year, indicating a high degree of stability in rank order despite the myriad of physical, cognitive and socioemotional changes that occur during adolescence. We discuss implications of the reciprocal model with a focus on the relative pliability of components from each process and strategies for shaping them. Planning, concentration and distractibility are highlighted as potential targets for intervention.

Alkaline-oxidized MXene composite membrane of ultra high flux and advanced rejection performance for water purification

MXene is a metal-carbon/nitrogen compound material with a two-dimensional layered structure. As a new form of two-dimensional material, it has great potential in the field of water purification because of its properties of high permeability and hydrophilicity. In this study, a MXene composite membrane was prepared by in-situ oxidation of titanium dioxide on the MXene surface by an alkaline oxidation method. A series of characterizations of the prepared MXene composite membrane was carried out. Scanning electron microscopy showed that with an increasing degree of oxidation, the extent of agglomeration of MXene nanosheets increased, thus generating more water channels that are conducive to the transport of water molecules, and an increasing water flux. The penetration performance, interception performance, and stability of the MXene composite membrane were tested. The effect of different concentrations of KOH on the properties of the composite membrane was investigated. It was found that the flux of the composite membrane increased with alkali concentration by 4.6–28.8 times the flux without exposure to alkali. It was found that the rejection rate of the composite membrane for pollutants (dyes, humic acid, bovine serum albumin protein) decreased only slightly with increasing alkali concentration, and was ≥94% of the pure MXene membrane rejection rate in all cases. The rejection performance of the composite membrane was related to the size and charge properties of the pollutant molecules. The results of the stability tests showed that the composite membranes had a high degree of physical and flux stability in a range of aqueous solutions.

Riboflavin-loaded soy protein isolate cold gel treated with combination of high intensity ultrasound and high hydrostatic pressure: Gel structure, physicochemical properties and gastrointestinal digestion fate

Transglutaminase (TGase) was added to soy protein isolate (SPI) dispersion after the combination treatment of high intensity ultrasound (HIU) and high hydrostatic pressure (HHP) to catalyze the formation of cold gel, which was used to encapsulate riboflavin. The structure, physicochemical properties and in vitro digestion characteristics of riboflavin-loaded SPI cold gel were investigated. HIU-HHP combined treatment enhanced the strength, water retention, elastic property, thermal stability and protein denaturation degree of riboflavin-loaded SPI cold gels, and improved the gel network structure, resulting in a higher encapsulation efficiency of riboflavin and its chemical stability under heat and light treatment. HIU-HHP combined treatment reduced the erosion and swelling of SPI cold gel in simulated gastrointestinal fluid, and improved the sustained release effect of SPI gel on riboflavin by changing the digestion mode and rate of gel. In addition, HIU-HHP combined treated gels promoted the directional release of riboflavin in the simulated intestinal fluid, thereby improving its bioaccessibility, which was related to the secondary structure orderliness, tertiary conformation tightness and aggregation degree of protein during the gastrointestinal digestion. Therefore, HIU-HHP combined treatment technology had potential application value in improving the protection, sustained/controlled release and delivery of SPI cold gels for sensitive bioactive compounds.

Cell Line and Media Composition Influence the Production of Giant Plasma Membrane Vesicles.

Giant plasma membrane vesicles (GPMVs) have been utilized as a model to study phase separation in the plasma membrane. Additionally, GPMVs have been employed as vehicle for delivering molecular cargo, including small molecule drugs and nanoparticles. Nearly all examples of GPMV production use a defined salt buffer that is a stark contrast to typical cell culture medium. In this study, we demonstrate that the addition of formaldehyde and dithiothreitol to a standard culture medium was capable of generating GPMVs at a concentration equal to or higher than the traditional production buffer. These methods were evaluated for two human cell lines: kidney endothelial and Schwann cells (SCs). Morphological properties of the resultant GPMVs exhibited no significant differences between the two formulations. Factors such as pH and seeding density significantly influenced the production of GPMVs in both mediums. The cell type and seeding density was shown to influence the number of GPMVs to the greatest extent. SCs yield more GPMVs at higher seeding densities compared to endothelial cells. Stability of the membrane of the GPMVs produced in both mediums was evaluated by monitoring passive diffusion of two fluorescently tagged dextrans (3 and 10 kDa). Regardless of the production formulation or cell type, approximately 85% GPMVs are impermeable to either dextran. Cold storage for on-demand use and shipping are essential for broader use of GPMVs. Toward this aim, we have evaluated the GMPV number and morphologies following storage at -80 °C and in liquid nitrogen. A significant loss of the GPMV number, ∼30%, was observed following storage across production formulations as well as cell types. Our results indicate that smaller GMPVs, <5 μm are more stable for preservation. In conclusion, GPMVs can be produced in a broad range of formulations, exhibit a high degree of stability, and can undergo cold storage for further adoption.

Evaluation of lettuce germplasm for resistance to impatiens necrotic spot virus

Recently, impatiens necrotic spot virus (INSV) has emerged as a major pathogen of lettuce in the Salinas Valley of California. The virus is a member of the genus Orthotospovirus, and under natural conditions, is transmitted by the tiny insect, western flower thrips. Due to the high efficiency of virus transmission, chemical management of thrips vectors is often ineffective in preventing the spread of the disease. Utilization of genetic resistance will be a critical component for managing the disease; however, little is known about genetic sources of resistance in lettuce. Here, we evaluated 189 lettuce lines under natural disease pressure in four field experiments to identify INSV resistant germplasm. The stability of resistance was also evaluated using different inoculation methods under controlled conditions. Our results showed a significant variation (p < 0.0001) among lettuce cultivars for both INSV severity and incidence. We identified INSV resistant germplasm that belongs to different horticultural types and leaf color, including a red-leaf cultivar ‘Eruption’ with a high degree of genetic stability. Moreover, we characterized several factors influencing thrips and host plant relationships, including horticultural type, leaf color, and polyphenol concentration. Overall, INSV resistant germplasm identified in this study provide valuable resources for breeding of INSV resistant lettuce cultivars.

Electronic Tongue Based on ZnO/ITO@glass for Electrochemical Monitoring of Spiciness Levels.

Capsaicin, a chemical compound present in chili peppers, is widely acknowledged as the main contributor to the spicy and hot sensations encountered during consumption. Elevated levels of capsaicin can result in meals being excessively spicy, potentially leading to health issues, such as skin burning, irritation, increased heart rate and circulation, and discomfort in the gastrointestinal system and even inducing nausea or diarrhea. The level of spiciness that individuals can tolerate may vary, so what may be considered incredibly hot for one person could be mild for another. To ensure food safety, human healthcare, regulatory compliance, and quality control in spicy food products, capsaicin levels must be measured. For these purposes, a reliable and stable sensor is required to quantify the capsaicin level. To leverage the effect of zinc oxide (ZnO), herein, we demonstrated the one-step fabrication process of an electronic tongue (E-Tongue) based on an electrochemical biosensor for the determination of capsaicin. ZnO was electrodeposited on the indium tin oxide (ITO) surface. The biosensor demonstrated the two notable linear ranges from 0.01 to 50 μM and from 50 to 500 μM with a limit of detection (LOD) of 2.1 nM. The present study also included the analysis of real samples, such as green chilis, red chili powder, and dried red chilis, to evaluate their spiciness levels. Furthermore, the E-Tongue exhibited notable degrees of sensitivity, selectivity, and long-term stability for a duration of more than a month. The development of an E-Tongue for capsaicin real-time monitoring as a point-of-care (POC) device has the potential to impact various industries and improve safety, product quality, and healthcare outcomes.

Laboratory tests for evaluation of shear strength and tensile effect generated by fibers present in Muribeca’s landfills of municipal solid waste

Understanding the geotechnical behavior of a municipal solid waste landfill (MSW) requires the filtering of several studies. Regarding the mechanical behavior, there are several discussions about the conditions for the stability maintenance of these structures. This stability depends a priori on the resistance of the compacted material to remain itself stable in a way that it does not generate ruptures or slips. Of various materials compacted found in the MSW landfills, high percentages of fibers (such as plastic, fabric and wood) are verified, these materials have a great influence on the mechanical behavior of the structure. These fibers in turn produce in general an increase in the geotechnical parameters: cohesion (c), friction angle (ϕ) and tensile (ζ), which consequently increase the degree of stability of the landfill. In this context, the present work performed evaluations of the effect of fiber tensile and shear strength in samples of Muribeca’s MSW landfills, the analyzes were performed by laboratory tests using a specimen of aged residues collected in the field, with a deposition age of 10 years. With the collected sample, direct shear tests were performed on 3 different sample proportions of fibers: 0%, 16.17% and 32.33%, in two conditions of test: flooded and non-flooded. From the results obtained in the tensile angles (ζ) in the condition of flooded of 10.2° and 5.0°, for the percentages of 16.17% and 32.33%, respectively.

Synthesis of ship systems optimal regulators based on matrix inequalities

The output and state regulators synthesis for ship control systems based on linear matrix inequalities using the CVX software package for solving optimization problems by the method of semi-definite programming is considered. Estimates parameters for regulators providing asymptotically stable systems regimes on Lyapunov inequalities solutions sets are obtained. An algorithm for controlling the ship course using a robust regulator in state feedback, followed by the use of CVX technologies to implement the minimum energy consumption control algorithm, is presented. The control vector estimation is reduced to the minimization of the L2 norm and it is performed in two stages, namely, the best mode is first determined, and then the mode under constraints is defined. The use of Lyapunov inequalities with the calculations implementation in CVX format on proprietary solvers has allowed us to obtain compact program texts and expand the set of restrictions introduced. In the algorithm for solving the boundary value problem of controlling a discrete model of an object, in contrast to existing optimization methods, a mode of transfer from the initial state to the final one with the right boundary, not necessarily equal to zero, is implemented. For a class of observable and controllable time–invariant systems, using the Krylov’s function contained in the MATLAB gallery of functions, L2‑norms to be minimized are formed. Examples of regulator calculations with a given degree of stability and optimal systems, confirming proposed solutions correctness, are given.

High-Temperature Thermal Stability of Hot Isostatic Pressed Co25.1Cr18.8Fe23.3Ni22.6Ta8.5Al1.7 (at%) Eutectic High-Entropy Alloy

An eutectic high-entropy alloy (EHEA) consisting mainly of a face-centered cubic (FCC) phase and a C14 Laves phase with the compositions of Co25.1Cr18.8Fe23.3Ni22.6Ta8.5Al1.7 (at%) was successfully prepared by hot isostatic pressing. The present EHEA exhibits a skeleton-type Laves phase structure, deviating from typical EHEA structures. After a series of annealing treatments at 1000 °C for different durations (ranging from 0 to 150 h), the Co3Ta phase precipitated after annealing. The mechanical properties measured at 850 °C showed a tensile strength of 441 MPa and an elongation of 3.3%. The results of the high-temperature tests showed that the mechanical properties of this alloy did not change significantly before and after annealing, and its microstructure showed a high degree of stability, which suggests that the material has some potential for use in high-temperature environments.

INTELLIGENT CONTROL SYSTEM OF MULTI-MOTION MOBILE ROBOT

Technical devices with irregular motion are described by complex non-linear differential equations, as they have an uncertain environment. Due to interactions and simplifications in these types of control objects, their mathematical models may have certain errors. For this reason, by known methods, for example, the linear matrix inequality method, Lyapunov's quadratic function, etc. The synthesized automatic control systems (ACS) for dynamic objects written by nonlinear mathematical models based on the quadratic matrix determined by The synthesis of regulators for the management of dynamic objects described in nonlinear and uncertain conditions is based on fuzzy logic theory. Since the controllers synthesized by fuzzy logic are based on knowledge, their application to other objects (robots) is limited. In such systems, it is difficult or not at all to determine the dependencies between ACS quality indicators, stability and object parameters. Taking into account the above, a method of analytically parametric synthesis of regulators that ensures the degree of stability and accuracy in ACS’s designed for fuzzy TS-type dynamic objects is proposed. In the article, the solution to the problem of the synthesis of the control system of the mobile robot was considered, and it was successfully applied in the multi-motion mobile robot system. Modeling and experimental results confirm that the operation and stability of the obtained system fully meet the technical requirements. The proposed method has led to an increase in both tracking and control accuracy during high-speed movements. Keywords: multi-motion mobile robot, mathematical model, mechatronic modules, fuzzy TS model, robust controller, fuzzy logic.

Applications of Raman spectroscopy in the diagnosis and monitoring of neurodegenerative diseases.

Raman scattering is an inelastic light scattering that occurs in a manner reflective of the molecular vibrations of molecular structures and chemical conditions in a given sample of interest. Energy changes in the scattered light can be assessed to determine the vibration mode and associated molecular and chemical conditions within the sample, providing a molecular fingerprint suitable for sample identification and characterization. Raman spectroscopy represents a particularly promising approach to the molecular analysis of many diseases owing to clinical advantages including its instantaneous nature and associated high degree of stability, as well as its ability to yield signal outputs corresponding to a single molecule type without any interference from other molecules as a result of its narrow peak width. This technology is thus ideally suited to the simultaneous assessment of multiple analytes. Neurodegenerative diseases represent an increasingly significant threat to global public health owing to progressive population aging, imposing a severe physical and social burden on affected patients who tend to develop cognitive and/or motor deficits beginning between the ages of 50 and 70. Owing to a relatively limited understanding of the etiological basis for these diseases, treatments are lacking for the most common neurodegenerative diseases, which include Alzheimer's disease, Parkinson's disease, Huntington's disease, and amyotrophic lateral sclerosis. The present review was formulated with the goal of briefly explaining the principle of Raman spectroscopy and discussing its potential applications in the diagnosis and evaluation of neurodegenerative diseases, with a particular emphasis on the research prospects of this novel technological platform.