Standard Control Research Articles

Association of RASGRP1 polymorphism with vascular complications in Chinese diabetic patients with glycemic control and antihypertensive treatment

BackgroundStudies have shown that RASGRP1 was potently associated with the onset of type 2 diabetes mellitus (T2DM), and RASGRP1 rs7403531 was significantly correlated with islet function in T2DM patients. However, the effect of RASGRP1 polymorphism on blood glucose and blood pressure in T2DM patients after continuous treatment has yet to be fully elucidated.ObjectiveThis study aimed to explore the association between RASGRP1 genetic polymorphism and cardiovascular complications in T2DM patients, so as to provide more evidence for the individualized treatment of T2DM patients.MethodsWe retrospectively analyzed a large-scale multicenter drug clinical study cohort that based on a 2 × 2 factorial (glucose control axis and blood pressure lowering axis) randomized controlled design, with follow-up for 5 years. The major vascular endpoint events included cardiovascular death, non-fatal stroke, coronary heart disease, new-onset or worsening renal disease, and diabetic retinopathy. RASGRP1 rs12593201, rs56254815 and rs7403531 were finally selected as candidate single nucleotide polymorphisms. Mixed linear model and Cox hazard ratio (HR) model were used for data analysis with IBM SPSS (version 20.0 for windows; Chicago, IL).ResultsOur study enrolled 1357 patients with high-risk diabetes, with a mean follow-up duration of 4.8 years. RASGRP1 rs7403531 was associated with vascular events in hypoglycemic and antihypertensive therapy. Specifically, compared with CC carriers, patients with CT/TT genotype had fewer major microvascular events (HR = 0.41, 95% confidence interval (CI) 0.21–0.80, P = 0.009), and reduced the risk of major eye disease events (HR = 0.44, 95% CI 0.20–0.94, P = 0.03). For glucose lowering axis, CT/TT carriers had a lower risk of secondary nephropathy (HR = 0.48, 95% CI 0.25–0.92, P = 0.03) in patients with standard glycemic control. For blood pressure lowering axis, all cerebrovascular events (HR = 2.24, 95% CI 1.11–4.51, P = 0.025) and stroke events (HR = 2.07, 95% CI 1.03–4.15, P = 0.04) were increased in patients with CC genotype compared to those with CT/TT genotype in the placebo group, respectively. Furthermore, patients with CC genotype showed a reduced risk of major cerebrovascular events in antihypertensive group (HR = 0.36, 95% CI 0.15–0.86, P = 0.021). For RASGRP1 rs56254815, compared with the AA genotype carriers, the systolic blood pressure of AG/GG carriers in the antihypertensive group decreased by 1.5mmhg on average (P = 0.04). In the placebo group, the blood pressure of AG/GG carriers was 1.7mmHg higher than that of AA carriers (P = 0.02).ConclusionWe found that patients with G allele of RASGRP1 (rs56254815) showed a better antihypertensive therapy efficacy in T2DM patients. The rs7403531 T allele could reduce the risk of major microvascular events and major eye diseases in T2DM patients receiving either hypoglycemic or antihypertensive therapy. Our findings suggest that RASGRP1 genetic polymorphism might predict the cardiovascular complications in T2DM patients.

The quantum cartpole: A benchmark environment for non-linear reinforcement learning

Feedback-based control is the de-facto standard when it comes to controlling classical stochastic systems and processes. However, standard feedback-based control methods are challenged by quantum systems due to measurement induced backaction and partial observability. Here we remedy this by using weak quantum measurements and model-free reinforcement learning agents to perform quantum control. By comparing control algorithms with and without state estimators to stabilize a quantum particle in an unstable state near a local potential energy maximum, we show how a trade-off between state estimation and controllability arises. For the scenario where the classical analogue is highly nonlinear, the reinforcement learned controller has an advantage over the standard controller. Additionally, we demonstrate the feasibility of using transfer learning to develop a quantum control agent trained via reinforcement learning on a classical surrogate of the quantum control problem. Finally, we present results showing how the reinforcement learning control strategy differs from the classical controller in the non-linear scenarios.

CAN Interface Insights for Electric Vehicle Battery Recycling

Road transportation is a significant worldwide contributor to greenhouse gases, and electrifying the driveline of road vehicles is essential in overcoming the evident challenge of climate change. A sustainable transition to electric vehicles requires efficient and safe methods for recycling and repurposing used electric vehicle batteries. While various testing methods have been explored for assessing battery state of health and state of risk for recycling and reuse, a research gap exists concerning using data from integrated battery monitoring systems in the recycling process of electric vehicle batteries. This study addresses the research gap by presenting an approach to extract data from the monitoring system integrated into the battery using the automotive standard controller area network interface. In addition, methods to use this interface to ensure the optimal state of charge of the batteries for storage are presented. The benefits, challenges, and limitations set by the proprietary nature of the data to assess the state of risk and health of electric vehicle batteries for recycling and repurposing are presented, discussed, and evaluated. Finally, the influence of battery regulations and the battery passport proposal on electric vehicle battery recycling and repurposing are discussed to provide future perspectives.

Assessment of Lung Health Status by Analyzing Cough Sound Using Swaasa Artificial Intelligence Technology

ABSTRACT Introduction: The crucial function of the respiratory system is the facilitation of blood gas exchange process. Spirometry is the diagnostic tool to detect and differentiate obstructive and restrictive respiratory diseases that impair this vital function. The need for a clinical setup, technical expertise, and patient compliance are certain limitations for utilizing spirometry in remote areas. Swaasa® artificial intelligence (AI) platform, which has a Class B manufacturing license from India’s Central Drugs Standard Control Organization, is a validated “software as a medical device,” which aids in screening and diagnosis of respiratory diseases, unbounded by location, equipment and technical expertise. Objectives: The objectives of the study were to determine the “lung health index” and the “pattern of lung health” conditions among nursing students. Materials and Methods: A cross-sectional study was conducted utilizing the Swaasa® AI platform among students of a nursing college in Central Karnataka in June 2023. Based on audiometric analysis of cough sounds, parameters such as underlying respiratory condition, cough count values, and respiratory symptoms experienced, ‘Swaasa’ AI platform derives pattern of respiratory condition (normal/obstructive/restrictive/mixed), ‘Lung Health Index,’ and presence or absence of lung health risk. Data collected in the Swaasa app were downloaded and analyzed using SPSS.v. 20. Results: Lung health risk was present in 58.2% of participants. Abnormal lung pattern was noted in 21.3% of participants (obstructive: 14.8%, restrictive: 2.5%, and mixed pattern: 4.1%). Conclusion: The Swaasa AI platform was utilized in this study to self-test lung health in real time without the need for a clinical setting. A high lung health index was found among 18% of participants. Studies adopting such cough sound analysis involving a larger population from wider geographic areas have to be conducted to detect and monitor respiratory diseases to increase its usage among the medical community in everyday clinical practice and also in remote areas.

Unified Sufficient Conditions for Predefined-Time Stability of Non-Linear Systems and Its Standard Controller Design

This paper presents a unified Lyapunov-based predefined-time stability theorem that includes three sufficient conditions. The standard theoretical analysis method for achieving predefined-time stability of non-linear systems using this theorem is provided within the framework of Lyapunov theory. The developed Lyapunov-based theorem facilitates the establishment of equivalence between the existing Lyapunov theorems concerning predefined-time stability. Furthermore, when the presented sufficient conditions are relaxed, the predefined-time stability conclusion for non-linear systems degenerates into a finite-time one. Consequently, a standard non-singular sliding mode control framework based on the unified Lyapunov-based theorem is developed for a Lagrangian system to ensure its predefined-time stability. Exemplary numerical simulation results are subsequently given, in order to illustrate the convergence behavior of the system states and confirm that the controlled systems are predefined-time stable.

A facile and scalable method to synthesize PEGylated PDMAEMA for gene delivery.

In recent years, cationic polymer vectors have been viewed as a promising method for delivering nucleic acids. With the advancement of synthetic polymer chemistry, we can control chemical structures and properties to enhance the efficacy of gene delivery. Herein, a facile, cost-effective, and scalable method was developed to synthesize PEGylated PDMAEMA polymers (PEO-PDMAEMA-PEO), where PEGylation could enable prolonged polyplexes circulation time in the blood stream. Two polymers of different molecular weights were synthesized, and polymer/eGFP polyplexes were prepared and characterized. The correlation between polymers' molecular weight and physicochemical properties (size and zeta potential) of polyplexes was investigated. Lipofectamine 2000, a commercial non-viral transfection reagent, was used as a standard control. PEO-PDMAEMA-PEO with higher molecular weight exhibited slightly better transfection efficiency than Lipofectamine 2000, and the cytotoxicity study proved that it could function as a safe gene vector. We believe that PEO-PDMAEMA-PEO could serve as a model to investigate more potential in the gene delivery area.

Dual-Threshold Control Architecture for Improved Thermal and Power Management in Open-Cathode Direct Methanol Fuel Cell

A new dual-threshold cascade control scheme is proposed for water management in direct methanol fuel cells. The control architecture is constructed with the goal of adjusting the liquid-level of a methanol solution in an internal storage tank, where this control structure is based on a set point constrained by upper and lower thresholds. The logic of the algorithm is driven by a noninverting and an inverting Schmitt triggers comprising a switching function that sets the master controller on manual mode for periods of time during which the operating temperature of the electricity-generating fuel cell’s stack can be fixed at an optimal value. Automatic control is implemented when either threshold is reached, triggering a level recovery action where the temperature is manipulated to promote or inhibit cathodic evaporative water losses, depending on the existing perturbations. Manual mode is reinstated when a chosen mid liquid-level target is reached. The strategy seeks to avoid water flooding and dry-out states in the device, while ensuring constant power and current production during periods of manual operation. Simulation studies show that the new control method is immune to severe perturbations, which stands in contrast to a standard cascade control scheme that causes significant degradation and unstable electrical performance in the cell under analogous conditions. Unlike the standard cascade control where the operating temperature is seldom close to the optimal operating point, the improved dual-threshold logic is superior such that the desired temperature of operation can be realized during the entire manual mode, enhancing the performance of the variables that critically depend on temperature. The new method realizes a successful power transition from 30 to 40W, demonstrating its ability to meet changes in load demands, where this transfer is implemented by altering the operational temperature from 45°C to 60°C at a constant voltage. The new strategy can be incorporated into a higher-level optimization control layer, where different temperature operating points can be chosen based on user-defined performance criteria. The study focuses on a case of two different points of the polarization curve corresponding to a power of 40W. While the operating point at a current of 2.51A and temperature of 57.5°C has a higher voltage efficiency of 10%, the second point operating at 2.79A and 50°C shows a boost by 7.6% in fuel efficiency over the first point. Hence, a user can choose the optimal operating condition based on specific performance metrics while simultaneously meeting the load demands. Few recommendations are presented to advance this work in the future.

Adherence to Infection Prevention Practice Standard Protocol and Associated Factors Among Healthcare Workers.

Healthcare-associated infection affects more than 100 million patients annually. Healthcare workers' poor adherence to standard infection prevention and control procedures can result in many negative consequences, ranging from disability to death. A facility-based, cross-sectional study was conducted in June 2021 among 379 healthcare workers selected using a stratified random sampling technique. All types of healthcare providers except pharmacy professionals were included in the study. Standardization and validation of the study tool were performed ahead of data collection. Multivariable regression was used to assess the variables associated with adherence. The study found that 60.2% of healthcare workers (95% CI, 55.1-65.2) had good adherence to infection prevention practices, and 68.7% and good knowledge of infection prevention practices. Training on infection prevention methods (adjusted odds ratio [AOR] = 1.68; 95% CI, 1.04-2.72), availability of water supply at hand washing station (AOR = 2.90; 95% CI, 1.62-5.31), and attitude toward infection prevention (AOR = 2.64; 95% CI, 1.65-4.24) were identified as predictors of adherence to infection prevention and control procedures. More than half of the participants had good adherence to infection prevention guideline practices. In-service infection prevention training, a consistent water supply at the hand washing station, and a positive attitude of participants were associated with good adherence to infection prevention practices.

Ms. Savita Satakopan—A doyen of research in the field of Pharmacognosy

Abstract Savita Satakopan, born in 1927, was a renowned figure in drug standardization and quality control in Ayurveda, Siddha, and Unani systems of medicine. She spent 25 years researching and analyzing Ayurvedic drugs and raw materials, focusing on identifying genuine classical crude drugs, adulteration, and developing quality standards for sample analysis. Miss. Satakopan traveled to various countries in the 1970’s to develop analytical methods for Ayurvedic drugs and published numerous papers that contributed to the quality control measures of Ayurvedic drugs. As a member of the Ayurvedic Pharmacopeia Committee, she provided guidelines and established basic principles for pharmacopeial test methods. She also advised botanical studies and contributed to the Ayurvedic pharmacopeia of India. At 94, she passed away, leaving behind a remarkable legacy in botany. Her passion for research and dedication inspired aspiring young scientists, ensuring her impact would be felt for generations to come.

A COMPARATIVE PHARMACOGNOSTIC EVALUATION OF THE LEAVES OF TULSI (OCIMUM BASALICUM) AND (OCIMUM SANCTUM)

The pharmacognostic evaluation of Ocimum basilicum (Sweet Basil) and Ocimum sanctum (Holy Basil) involved detailed macroscopic and microscopic analyses of their leaves. Ocimum basilicum leaves typically measure 4-8 cm in length, displaying an elliptic ovate shape, whereas Ocimum sanctum leaves are relatively smaller, measuring about 2-2.5 cm in length and exhibiting an ovate shape. Microscopic examination further distinguished between the two species: O. sanctum displayed a square-shaped epidermis characterized by parenchymatous cells and sclerenchyma patches, whereas O. basilicum showcased a dorsiventral mesophyll structure with stomata and glandular trichomes. These distinctive features contribute significantly to the standardization, authentication, and quality control processes essential for ensuring the efficacy and safety of herbal medicine formulations containing Ocimum basilicum and Ocimum sanctum.

Structural neuroplasticity effects of singing in chronic aphasia.

Singing-based treatments of aphasia can improve language outcomes, but the neural benefits of group-based singing in aphasia are unknown. Here, we set out to determine the structural neuroplasticity changes underpinning group-based singing induced treatment effects in chronic aphasia. Twenty-eight patients with at least mild nonfluent post-stroke aphasia were randomized into two groups that received a 4-month multicomponent singing intervention (singing group) or standard care control group). High-resolution T1-images and multi-shell diffusion-weighted MRI data were collected in two time points (baseline / 5-month). Structural grey and white matter neuroplasticity changes were assessed using language network region-of-interest based voxel-based morphometry (VBM) and quantitative anisotropy based connectometry, and their associations to improved language outcomes (WAB Naming and Repetition) were evaluated. Connectometry analyses showed that the singing group enhanced structural white matter connectivity in the left arcuate fasciculus and corpus callosum as well as in the frontal aslant tract, superior longitudinal fasciculus, and corticostriatal tract bilaterally compared to the control group. Moreover, in VBM, the singing group showed grey matter volume increase in the left inferior frontal cortex (BA44) compared to the control group. The neuroplasticity effects in the left BA44, arcuate fasciculus, and frontal aslant tract correlated with improved naming abilities after the intervention. These findings suggest that in post-stroke aphasia group singing can bring about structural neuroplasticity changes in left frontal language areas and in bilateral language pathways, which underpin treatment-induced improvement in speech production.Significance Statement Understanding the neural underpinnings of improved language outcomes in aphasia is vital. We utilize longitudinal neuroplasticity measures of both grey and white matter and evaluate their contribution to group-based singing treatment effects in chronic aphasia. The results show that singing intervention induced grey and white matter neuroplasticity changes in the left frontal language-related structures, but also in the right hemisphere (white matter), correlating with improved naming abilities. These results shine light on treatment-induced structural changes in chronic aphasia and improve our understanding of aphasia rehabilitation.

Chemical Relationship among Genetically Authenticated Medicinal Species of Genus Angelica.

The genus Angelica comprises various species utilized for diverse medicinal purposes, with differences attributed to the varying levels or types of inherent chemical components in each species. This study employed DNA barcode analysis and HPLC analysis to genetically authenticate and chemically classify eight medicinal Angelica species (n = 106) as well as two non-medicinal species (n = 14) that have been misused. Nucleotide sequence analysis of the nuclear internal transcribed spacer (ITS) region revealed differences ranging from 11 to 117 bp, while psbA-trnH showed variances of 3 to 95 bp, respectively. Phylogenetic analysis grouped all samples except Angelica sinensis into the same cluster, with some counterfeits forming separate clusters. Verification using the NCBI database confirmed the feasibility of species identification. For chemical identification, a robust quantitative HPLC analysis method was developed for 46 marker compounds. Subsequently, two A. reflexa-specific and seven A. biserrata-specific marker compounds were identified, alongside non-specific markers. Moreover, chemometric clustering analysis reflecting differences in chemical content between species revealed that most samples formed distinct clusters according to the plant species. However, some samples formed mixed clusters containing different species. These findings offer crucial insights for the standardization and quality control of medicinal Angelica species.

Gene Expression Profiling to Unfolded Proteins Response as a Risk Modulator of Patients with Rheumatoid Arthritis.

Rheumatoid arthritis (RA) is a chronic inflammatory disease. Despite new methods of diagnostics and treatment as well as extensive biological and immunosuppressive treatment, the etiology of RA is not fully understood. Moreover, the problem of diagnosis and treatment of RA patients is still current and affects a large group of patients. It is suggested that endoplasmic reticulum (ER)-related features may impair adaptation to chronic stress, inferring the risk of rheumatoid arthritis. The main goal in this study was evaluation of changes in mRNA translation to determine chronic ER stress conditions in rheumatoid arthritis patients. The study group consist of 86 individuals including a total of 56 rheumatoid arthritis patients and 30 healthy controls. The expression level of mRNA form blood samples of RA patients as well as controls of the unfolded protein response (UPR)-associated genes (p-eIF2, BCL-2, PERK, ATF4, and BAX) were investigated using real-time qPCR. GAPDH expression was used as a standard control. Considering the median, the expression levels of PERK, BCL-2, p-eIF2, ATF4, and BAX were found to be significantly increased in the blood of RA patients compared with the control group. The p-value for the PERK gene was 0.0000000036, the p-value for the BCL-2 gene was 0.000000014, the p-value for the p-eIF2 gene was 0.006948, the p-value for the ATF4 gene was 0.0000056, and the p-value for the BAX gene was 0.00019, respectively. Thus, it can be concluded that the targeting of the components of the PERK-dependent UPR signaling pathway via small-molecule PERK inhibitors may contribute to the development of novel, innovative treatment strategies against rheumatoid arthritis.

Effect of hemoglobin A1c change on 24-month clinical outcomes in patients with diabetes after acute myocardial infarction.

The average glycated hemoglobin (HbA1c) may not accurately reflect glycemic control status during the mid-term after acute myocardial infarction (AMI). We aimed to evaluate changes in HbA1c and their effect on mid-term clinical outcomes in patients with diabetes and AMI. We enrolled patients with diabetes (n = 967) who underwent HbA1c measurement in the Korean nationwide registry. These patients were categorized into three groups based on changes in HbA1c from index admission to the 1-year follow-up visit: a decrease in HbA1c > 1%, changes in HbA1c within 1%, and an increase in HbA1c > 1%. Clinical outcomes at 24 months were examined. The baseline HbA1c levels were 8.55 ± 0.85, 7.00 ± 0.98 and 7.07 ± 1.05 (P = 0.001) and HbA1c levels after 1 year were 6.62 ± 0.73, 7.05 ± 0.98 and 9.26 ± 1.59 (P = 0.001) for patients with 3 groups, respectively. Patients with a 1% decrease in HbA1c had significantly lower incidence of major adverse cardiovascular events (MACE), cardiac death, and rehospitalization after 24 months than those with a 1% increase in HbA1c. However, in the Cox regression analysis, a >1% decrease in HbA1c change was not an independent factor for MACE, cardiac death, and rehospitalization. Our analysis indicates that an HbA1c decrease of >1% within the first 12 months was not an independent prognostic factor until the 24-month mark. Therefore, standard diabetic control is recommended for patients with diabetes and AMI for up to 2 years.

Ameliorative effects of Myrtus communis L. extract involving the inhibition of oxidative stress on high fat diet-induced testis damage in rats

ABSTRACT The possible protective effects of Myrtus communis L. (MC) extract on a high fat diet (HFD)-induced testicular injury in a rat model were investigated using histological and biochemical methods. Wistar albino rats were divided into three groups: a standard diet control group; a HFD group; and an HFD+MC group. The HFD and HFD+MC groups were fed with a HFD for 16 weeks. MC extract (100 mg/kg) was given orally five days a week to the rats in the HFD+MC group during the last four weeks of the experiment. Leptin, triglyceride, high-density lipoproteins, cholesterol, estrogen, testosterone, LH and FSH were analyzed in blood serum. Sperm parameters were evaluated from the epididymis. Testicular morphology, proliferative, apoptotic and NADPH oxidase-2 (NOX2)-positive cells were evaluated histologically. Testicular oxidative stress parameters were analyzed biochemically. In the HFD group, lipid and hormone profiles were changed, abnormal spermatozoa, degenerated seminiferous tubules with apoptotic and NOX2-positive cells were increased in number, and sperm motility and germinal proliferative cells decreased compared to the control group. Moreover, testicular malondialdehyde, 8-hydroxy-2-deoxyguanosine and myeloperoxidase levels increased, whereas glutathione and superoxide dismutase levels decreased in the HFD group compared to the control group. All these histological and biochemical features were ameliorated by MC treatment of HFD-fed rats. In conclusion, HFD caused alterations in sperm parameters and testicular morphology by increasing oxidative damage and apoptosis. MC extract may have potential protective effects by inhibiting oxidative damage.

Sustainable latent fingerprint enhancement with ink-free printing and shape memory behavior using Parthenium Hysterophorus-derived carbon dots

We developed a method to produce red fluorescent carbon dots from Parthenium hysterophorus leaves (PCDs) through hydrothermal carbonization. These PCDs exhibit consistent photoluminescence, emitting light regardless of excitation, with a 6.01 ns fluorescence lifetime and a 10.2% quantum yield. They possess a fine size of 4.4 nm, excellent hydrophilicity, and stability in a pH range of 4–11. Leveraging their optical properties, these PCDs function as precise nano-probes for detecting Fe3+ ions, demonstrating a linear correlation within 0 to 50 μM concentrations and a low detection limit of approximately 0.14 μM. Emitting light at about 620 nm, these PCDs remain visible even in daylight. When applied to fingerprints on various substrates and dried, they reveal distinct prints under 365 nm UV light, retaining stability for 24 h. This resilience is attributed to preventing fluorescence reduction, achieved through the coffee-ring effect and electrostatic interactions during drying. Employing deep learning with the YoLOv8 algorithm, fluorescence images of these latent fingerprints (LFPs) exceptionally resemble standard controls. These PCDs serve a dual role as fluorescent ink and nanocomposite films within a PVA matrix, demonstrating potential in anti-counterfeiting applications. This study presents a straightforward method for synthesizing PCDs with intense red luminescence, establishing them as a versatile platform for Fe3+ sensing, flexible fluorescent films, latent fingerprints, and anti-counterfeiting pursuits.

Using Mutation Breeding to Improve the Eating Characteristics of the Fusarium Wilt-Resistant Banana Variety, ‘Goldfinger’ (AAAB)

Banana production in Australia is under threat from Fusarium wilt Tropical Race 4 (TR4), and the option of growing a disease-resistant variety is sought after by many farmers. Goldfinger is one such alternative; however, it was previously rejected by Australian consumers. In Phase I of this investigation, mutagenesis was employed as a practical method to generate large numbers of novel variants. In Phase II, 631 variants were established in a field trial where agronomic and postharvest assessments, including taste-testing, identified 20 improved selections. Phase III involved a replicated field evaluation of the selections with favourable mutations, where further taste-testing revealed five selections with the most promising eating characteristics. In Phase IV, the five selections underwent large-scale consumer and sensory evaluations where four of them performed as well as the industry standard controls ‘Williams’ Cavendish and Lady Finger. The sensory analysis revealed differences in the fruit flavour profile and textural attributes, and these features will play a key role in bringing a new banana variety to market and for promotion to consumers. Screening of the variants’ resistance to yellow Sigatoka was integrated into the project, but further work is needed to ensure these four selections have retained their TR4 resistance.

Vibration analysis and control of aircraft landing systems using proposed neural controllers

AbstractNowadays, landing gears used in aircraft are the basic systems that carry the weight of aircraft systems and provide them to move on the ground. During the landing of aircraft, big and sudden vibrations occur as soon as the wheels come into contact with the runway. This situation negatively affects human safety, comfort and also the life of the landing gear system. Therefore, it is important to keep this vibration at permissible levels. This paper presents an improved vibration control method that controls the amplitudes of vibrations of landing systems. This paper presents proposed vibration control method that controls the angular position variables of the landing gear mechanism to control the vibrations occurring during landing. For different runway conditions and 200 km/h landing speed, the angular joint variables of the landing gear mechanism links are controlled using standard controller and a proposed neural controller structure. The simulation results are shown that the proposed neural controllers have better performance at vibration control of landing systems during landing.

Hardware-in-the-loop dynamic load emulation of robotic systems actuated by fluidic artificial muscles

Hardware-in-the-loop (HIL) testing is a popular control system testing method because it bridges the gap between modeling/simulation and experiments. Instead of designing a full hardware-based experiment to validate the results of a simulation, the plant hardware can be replaced with an emulator device that responds to exogenous inputs and effectively emulates the dynamic behavior of a system. This approach can be more cost-effective and modular, since the emulated plant system can be modeled in a simulation environment, implemented on a simplified piece of hardware and changed quickly without having to fabricate new parts. This paper develops the hardware and control scheme for a certain type of HIL device called a dynamic load emulator that consists of a 1-DOF linear hydraulic dynamometer equipped with in-line sensing to measure both its own position and the force exerted on it by a device-under-test. This measured force is passed to a real-time model of the emulated dynamic system. The model outputs the emulated system position, and a closed-loop controller is used to emulate this position. The emulator controller incorporates both model-based feedforward and standard feedback PI control. This paper characterizes the dynamometer-based dynamic load emulator and its controller, determining its hardware limitations and validating its capabilities when experiencing a force input from a linear spring with known parameters. Additionally, this paper demonstrates the ability of the emulator to represent the dynamics of a 1-DOF robotic joint when actuated by a pair of fluidic artificial muscles (FAMs). The primary contribution of this work is to allow for more comprehensive testing of FAM configurations, topologies, and controllers for a wide range of parameters, because the same hardware can be used to emulate multiple systems. As a result, this work will lead to more cost-effective, time-efficient, and energy-efficient designs of robotic systems and the FAMs used to actuate them.

Early-Onset Hypertension and Sex-Specific Residual Risk for Cardiovascular Disease in Type 2 Diabetes.

To investigate whether the sex disparities in type 2 diabetes-associated cardiovascular disease (CVD) risks may be related to early-onset hypertension that could benefit from intensive blood pressure (BP) control. We analyzed intensive versus standard BP control in relation to incident CVD events in women and men with type 2 diabetes, based on their age of hypertension diagnosis. Among 3,792 adults with type 2 diabetes (49% women), multivariable-adjusted CVD risk was increased per decade earlier age at hypertension diagnosis (hazard ratio 1.11 [1.03-1.21], P = 0.006). Excess risk associated with early-diagnosed hypertension was attenuated in the presence of intensive versus standard antihypertensive therapy in women (P = 0.036) but not men (P = 0.76). Women with type 2 diabetes and early-onset hypertension may represent a higher-risk subpopulation that not only contributes to the female excess in diabetes-related CVD risk but may benefit from intensive BP control.