Verification Of Stability Research Articles

SDC4 protein action and related key genes in nonhealing diabetic foot ulcers based on bioinformatics analysis and machine learning

Diabetic foot ulcers (DFU) is a complication associated with diabetes characterised by high morbidity, disability, and mortality, involving chronic inflammation and infiltration of multiple immune cells. We aimed to identify the critical genes in nonhealing DFU using single-cell RNA sequencing, transcriptomic analysis and machine learning. The GSE165816, GSE134431, and GSE143735 datasets were downloaded from the GEO database. We processed and screened the datasets, and identified the cell subsets. Each cell subtype was annotated, and the predominant cell types contributing to the disease were analysed. Key genes were identified using the LASSO regression algorithm, followed by verification of model accuracy and stability. We investigated the molecular mechanisms and changes in signalling pathways associated with this disease using immunoinfiltration analysis, GSEA, and GSVA. Through scRNA-seq analysis, we identified 12 distinct cell clusters and determined that the basalKera cell type was important in disease development. A high accuracy and stability prediction model was constructed incorporating five key genes (TXN, PHLDA2, RPLP1, MT1G, and SDC4). Among these five genes, SDC4 has the strongest correlation and plays an important role in the development of DFU. Our study identified SDC4 significantly associated with nonhealing DFU development, potentially serving as new prevention and treatment strategies for DFU.

Record high counting rate of positron annihilation lifetime spectrometer achieved by [formula omitted] coincidence

Conventional positron annihilation lifetime (PAL) spectrometers, which employ the γ-γ coincidence with two perpendicularly-positioned detectors, have a typical counting rate of 100–300 counts per second (cps). To increase the counting rate, according to the optimized structural parameters using Geant4 simulation, a 22Na positron source (∼ 1.665 MBq), a silicon photomultiplier (SiPM), and digital waveform technology are utilized for the first time to a β+-γ coincidence PAL spectrometer. After the optimization and verification of accuracy and stability, this spectrometer can achieve a time resolution of about 206 ps, and a record high effective counting rate of approximately 19000 cps (∼ 11000 cps/MBq), which is two orders of magnitude greater than those of conventional PAL spectrometers. The significant shortening of measurement time for a single PAL spectrum enables us to observe sub-minute-scale evolution of microstructure during rapid physical and chemical processes in the future.

Near-Infrared Dual-Range Methane Sensor Using the OAIC-HC Mode Based on VMD-SG-Assisted Optical Noise Suppression.

Based on tunable diode laser absorption spectroscopy and off-axis integrated cavity output spectroscopy, a dual-range methane hybrid sensor was constructed utilizing the overtone absorption band of CH4 gas molecules at 1653.7 nm. By simultaneously utilizing an off-axis integrated cavity and Herriott cell with an effective absorption path of 11 and 405 m, respectively, the two received photoelectric signals are decomposed into different frequency components by VMD and then reconstructed after SG filtering. Applying the global optimization algorithm DA-ELM to CH4 concentration inversion, the correlation coefficient R2 is as high as 0.9995. Through long-term stability verification, the instrument's standard deviation at 1 ppm is 27 ppb. After Allan-Werle deviation analysis, the sensor's limit of detection is 2.298 ppb at an integration time of 138 s. Using the self-developed sensor, the detection of dual-range trace CH4 gas is achieved, enabling a dynamic detection range of trace CH4 gas ranging from 400 ppb to 1000 ppm. The sensor realizes dual-range methane trace detection and actively controls methane emissions to improve environmental quality while taking into account the safety benefits of reducing production accidents.

Influencing Factors, Design Methods, and Buoyancy Reduction Measures for Basement Anti-Flotation Engineering

Basement anti-flotation design is crucial in modern urban construction. An increase in groundwater buoyancy can cause basement structures to uplift, leading to structural instability or even damage. To ensure the stability and safety of underground structures under various hydrogeological conditions, anti-flotation design must comprehensively consider factors such as construction, design, supervision, structure, and hydrology. During construction, improper dewatering measures or unreasonable construction progress may lead to an abnormal rise in groundwater levels, increasing the risk of anti-flotation. Design considerations must include sufficient safety margins, supervision must fully recognize the impact of groundwater, and the structural dead load must be adequate. Anti-flotation stability verification includes both overall and local anti-flotation, involving the calculation of groundwater buoyancy, structural self-weight, and overburden, and selecting appropriate anti-flotation stability safety factors. The assessment and selection of the anti-flotation design water level are also critical. Common anti-flotation measures include adding counterweights, tension-resistant piles, compression and tension-resistant piles, and hydro-pressure reduction methods, while reinforcement and repair methods include epoxy resin grouting and steel plating reinforcement. Through systematic analysis and comprehensive research, scientific basis and technical support are provided for anti-flotation design, enhancing design efficiency and reliability and ensuring the safety and stability of underground spaces. Future research will develop more accurate calculation methods, improve design standards, and explore new anti-flotation technologies and materials.

Decompression corrective osteotomy of the distal radius for treatment of the DRUJ-incongruency and impingement syndrome with focus on posttraumatic cases

IntroductionPosttraumatic or congenital ulna-minus variance with altered shape of the sigmoid notch and increased tension of the distal oblique band of the interosseous membrane (DIOM) can lead to painful impingement in the distal radioulnar joint (DRUJ) during rotation and loading of the forearm. As an operative treatment concept, a new method was described in 2016. Its goal is to restore the osseous congruency, which is required for normal painless function. The hypothesis is based on remodelling of the joint surface and the decompression of the DRUJ by releasing the DIOM. The purpose of this study is to analyze the results of performed operations with detailed focus on posttraumatic cases. Materials and Methods: The indication for the operation is the impingement and incongruency in the DRUJ with ulna-minus variance. The surgical procedure is based on shortening and closed-wedge osteotomy of the distal radius with an ulnar translation of the radial shaft. Fifty-nine operations were performed between 2011 – 2022 on 52 patients (13 men, 39 women). Twenty-four patients were operated on the right side, 21 on the left side and 7 bilaterally. In 45 cases the operation was indicated because of congenital, in 12 cases due to posttraumatic incongruency and in 2 cases because of iatrogenic impingement after previously performed excessive ulnar shortening osteotomy. Modified Mayo-Wrist-Score, patient questioning, VAS and ROM were used to evaluate the results. ResultsSignificant reduction of pain on VAS from 7.22 to 1.98 (p < .001) was achieved. The pre- and postoperative range of motion did not show any significant changes (mean total arc of motion 301,94° vs. 295,20°, p = .300). Specific complications we observed included a too distally performed osteotomy, DRUJ instability, de Quervain´s tenosynovitis, persistent pain and conversion into an ulna-plus variance. ConclusionUnder consideration of the indication criteria and correct execution of the osteotomy, in about 90 % of the cases this operation leads to good-to-excellent results with pain reduction and improvement of weight-bearing and power. The preoperative examination, verification of the DRUJ stability and the radiological diagnostics are crucial for a good outcome.

First-Principles Analysis of the Effects of Halogen Variation on the Properties of Lead-Free Novel Perovskites AlGeX3 (X = F, Cl, Br, and I).

To commercialize optoelectronic products and perovskite-based solar cells, nontoxic inorganic cubic metal halide perovskites have gained popularity. This study presents the structural, mechanical, electronic, and optical properties of novel lead-free metal cubic halide perovskites AlGeX3 (X = F, Cl, Br, and I) using the first-principles Density Functional Theory (DFT) approach. The verification of the mechanical stability of all compounds is conducted through Born stability criteria and formation energy. All of the compounds in the elastic investigations exhibit anisotropy, ductility, and elastic stability. The electronic band structures estimated by HSE06 and GGA-PBE functional demonstrate indirect to direct band gap transformation after substituting the halide F with the halides Cl, Br, and I. The tunability of halide-dependent energy bandgaps and the underestimation of energy band gaps are also noticed for the studied compounds by comparing the results obtained from the GGA-PBE functional and HSE06 investigations. The origins of bandgap transformation as well as halide-dependent energy gap modulation are explained by both the partial and total density of states (PDOS and TDOS). The results presented here suggest that all the compounds show low reflectivity, a high absorption coefficient, and also high optical conductivity in the visible and UV regions, making these materials suitable for multijunctional solar cells. Also, these materials have a greater impact on other optoelectronic device applications. Compared to other compounds, the optical investigation reported here demonstrates that AlGeI3 exhibits excellent optical conductivity and absorption in the visible region.

Application of Improved Ant Colony Algorithm in Optimizing the Charging Path of Electric Vehicles

In current traffic congestion scenarios, electric vehicles (EVs) have the problem of reduced battery life and continuous decline in endurance. Therefore, this study proposes an optimization method for electric vehicle charging scheduling based onthe ant colony optimization algorithm with adaptive dynamic search (ADS-ACO), and conducts experimental verification on it. The experiment revealed that in the four benchmark functions, the research algorithm has the fastest convergence speed and can achieve convergence in most of them. In the validation of effectiveness, the optimal solution for vehicle time consumption under the ADS-ACO algorithm in the output of the algorithm with a stationary period and a remaining battery energy of 15 kW·h was 2.146 h in the regular road network. In the initial results of 15 kW·h under changes in road conditions from peak to peak periods, the total energy consumption of vehicles under the research algorithm was 4.678 kW·h and 4.656 kW·h under regular and irregular road networks, respectively. The change results were 4.509 kW·h and 4.656 kW·h, respectively. The initial results of 10 kW·h were 4.755 kW·h and 4.873 kW·h, respectively. The change results were 4.461 kW·h and 4.656 kW·h, respectively, which are lower than the comparison algorithm. In stability verification, research algorithms can find the optimal path under any conditions. The algorithm proposed in the study has been demonstrated to be highly effective and stable in electric vehicle charging path planning. It represents a novel solution for electric vehicle charging management and is expected to significantly enhance the range of electric vehicles in practical applications.

Data-driven economic MPC with asymptotic stability and strong duality verification using Hankel matrix

We consider the problem of dynamic regulation with an economic cost function to control unknown linear systems, in which improving the economic performance and guaranteeing the stability of economical optimal equilibrium point are control objectives. A data-driven economic MPC scheme is presented using measured input-output trajectories without a prior system identification step. Our method uses Hankel matrices which include one input-output data trajectory for prediction in economic MPC, while persistently exciting of the input generating the data is needed. One of the novelties of the presented framework is directly verifying the strong duality property from input-output trajectory with the general cost function, considered as the supply rate. This is used to find a Lyapunov function for data-driven economic MPC. Under the strong duality assumption, asymptotic stability of the economical optimal equilibrium point for the closed-loop system with terminal equality constraint is guaranteed. The proposed data-driven economic MPC approach needs only persistently exciting data trajectory along with an upper bound on the system order and need no model description and no online parameter estimation. The proposed scheme applicability compared to the existing model-based economic MPC and data-driven MPC is illustrated for continuous stirred tank reactor (CSTR) and a numerical example and the robustness of the proposed scheme is evaluated in the case of measurement noise, as well as nonlinear model for CSTR system.

Stability verification of quantum non-i.i.d. sources

We introduce the problem of stability verification of quantum sources which are non-i.i.d.. The problem consists in ascertaining whether a given quantum source is stable or not, in the sense that it produces always a desired quantum state or if it suffers deviations. Stability is a statistical notion related to the sparsity of errors. This problem is closely related to the problem of quantum verification first proposed by Pallister et al (2018 Phys. Rev. Lett. 120), however, it extends the notion of the original problem. We introduce a family of states that come from these non-i.i.d. sources which we call a Markov state. These sources are more versatile than the i.i.d. ones as they allow statistical deviations from the norm instead of the more coarse previous approach. We prove in theorem 1 that the Markov states are not well described with tensor products over a changing source. In theorem 2 we further provide a lower bound on the trace distance between two Markov states, or conversely, an upper bound on the fidelity between these states. This is a bound on the capacity of determining the stability property of the source, which shows that it is exponentially easier to ascertain this with respect to n, the number of outcomes from the source.

Parameter design and dynamic stability of controllable damping ferrofluid bearing

AbstractThe purpose of this paper is to carry out parameter design and dynamic stability verification experiment of controllable damping ferrofluid bearing. A new type of ferrofluid bearings is designed, and its internal magnetic fields are simulated by the finite element analysis software ANSYS. In this paper, the coefficient of magnetic leakage is taken as the optimization object, and the optimal parameters of ferrofluid bearings are updated. At the same time, the working principle of the ferrofluid bearings test platform is introduced, which includes a servomotor with a controller, an eddy displace sensor, an amplifier and a power supply. Finally, the dynamic stability of ferrofluid bearing is verified by experiments. The experimental results show that when the applied current is less than or equal to 0.08 A, the amplitude of the rotor supported by the ferrofluid bearing decreases with the applied current increment. Besides, the dynamic stability of the rotor is also related to the rotational speed. When the applied current is 0.08 A, the amplitude of the rotor supported by the ferrofluid bearing firstly increases and then decreases with the rotational speed increment. It is proved that the ferrofluid bearings have a strong function of the dynamic stability, which can suppress the vibration of the rotor, and have high accuracy of both position and rotation.

Phase Diagram Analysis of High-Pressure/High-Temperature Polymorphs of Ammonia Borane.

Ammonia borane (NH3BH3) is a promising hydrogen-storage material because of its high hydrogen density. It is employed as a hydrogen source when synthesizing superconducting polyhydrides under high pressure. Additionally, NH3BH3 is a crystallographically interesting compound that features protonic hydrogen (Hδ+) and hydridic hydrogen (Hδ-), and it forms a dihydrogen bond, which explains its stable existence as a solid. Herein, X-ray diffraction experiments were performed at high pressures (HPs) and high temperatures (HTs) of up to 30 GPa and 300 °C, respectively, to investigate the HP/HT phase diagram of NH3BH3. A new HP/HT phase (HPHT2) was identified above 9 GPa and 150 °C. Crystal-structure analysis using the Rietveld method and stability verification using density functional theory calculations revealed that HPHT2 has a P21/n (Z = 4) structure, similar to that of a previously reported HP/HT phase (HPHT) that appears at a lower pressure. HPHT2 is denser than the HP phases that appear at room temperature (HP1 and HP2) at the same pressure (up to ∼17 GPa). In the phase diagram, the phase-boundary line between HPHT and HP1 is a downward convex curve. These unconventional phenomena in the density and phase boundary can be attributed to the influence of dihydrogen bonding on the crystal structure and phase diagram.

Autonomous Obstacle Avoidance and Trajectory Planning for Mobile Robot Based on Dual-Loop Trajectory Tracking Control and Improved Artificial Potential Field Method

In order to better meet the practical application needs of mobile robots, this study innovatively designs an autonomous obstacle avoidance and trajectory planning control strategy with low computational complexity, high cost-effectiveness, and the ability to quickly plan a collision-free smooth trajectory curve. This article constructs the kinematic model of the mobile robot, designs a dual-loop trajectory tracking control strategy for position control law and attitude control law algorithms, and improves the traditional artificial potential field method to achieve a good obstacle avoidance strategy for mobile robots. Based on the dual-loop trajectory tracking control and the improved artificial potential field method, the autonomous obstacle avoidance and trajectory planning scheme of the mobile robot is designed, and closed-loop stability verification and analysis are conducted on the overall control system. And through the detailed simulation and experiments, the advantages of the proposed method in trajectory tracking accuracy and motion stability compared to the existing methods are verified, showing good effectiveness and feasibility and laying a good foundation for the application of mobile robots in practical complex scenes.

Analysis and verification of uniform moment exponential stability for stochastic hybrid systems with Poisson jump

Analysis and verification of uniform moment exponential stability for stochastic hybrid systems with Poisson jump

Elaboração e validação de Instrumento de Identificação de Assédio Sexual de Estudantes de Medicina (IIASEM)

Abstract Introduction: Sexual harassment is a reality that permeates hierarchical and gender power relations, and although noticeable in the medical and academic environment, it is considered a silenced violence that causes organic and psychological harm, with great consequences for the victim. Objective: To develop and validate an instrument to identify the occurrence of sexual harassment in medical students. Method: This instrument was developed, after reviewing the literature on the subject, with Likert-type responses at five option levels, which has two parts: the first with information on the participants’ sociodemographic and academic characteristics and the second containing 21 items grouped into three dimensions: forms of harassment, facilitating factors and identification of the harasser in the academic environment and in hospital practice. Semantic and content validation was carried out by consensus of experts and FACE validation was carried out by a focal group of 12 students, two from each year of the course. To verify reliability, the instrument was sent to 1,146 medical students once a week for four weeks, with 350 (30.5%) students responding to the Test following the recommendation for psychometric studies. After 15 days, the Retest was started with the 350 Test respondents, following the same submission chronology to verify stability. In the Retest, 69 responses were obtained. The Excel program version 16 was used to create the database and the Stata statistical program version 13 was used for the analysis. The instrument was applied online using the LimeSurvey free software. Results: The reliability of the instrument was evidenced by a Cronbach’s Alpha of 0.8163 and 0.7826 for Test and Retest, respectively. For the verification of stability, the Stuart-Maxwell test was used, which showed a value of p = 0.126 and the weighted Kappa, where the result of all 21 assertions are contained in the confidence interval, demonstrating the homogeneity of the distribution of the average scores between the Test and the Retest. Conclusions: The validated instrument proved to be reliable and stable and can be used in medical schools to identify sexual harassment in medical students.

Formal Verification of Stability for Parametric affine Switched Systems

We focus on switched systems with a parametric affine term and state-dependent switch logic. For these systems, we aim to synthesize a region of parameters for which we guarantee a formal proof of Global Asymptotic Stability (GAS). We propose a novel technique based on Piecewise Quadratic Lyapunov Functions that are either Locally Valid (LVPQLF) or Parametric (PPQLF), for which we can define the LMI problem for synthesis and the symbolic proof obligations for formal verification. We implement the technique and show that it scales up to industrial-size systems with 21 state variables.

A Monotonicity Framework for Stability Verification of Planar Path-Following Controllers

A Monotonicity Framework for Stability Verification of Planar Path-Following Controllers

Mechanically Stabilized Earth (MSE) retaining wall at hotel in Bariloche City

In the city of Bariloche, Argentina after heavy rains, among other things, a slope failure occurred. At the top of it there were gabions, which, due to the loss of stability, together with a large mass of soil and trees, collided tragically against the facilities of the Hotel. This article describes the use of geosynthetics for the construction of a 20m high MSE (Mechanically Stabilized Earth) retaining wall in order to contain the slope soil. At the same time, the consequent drainages for water runoff and the release of hydrostatic pressures needed to be considered. Instead of gabions, a wall made of prefabricated concrete blocks was proposed, along with PVA geogrids for slope stabilization and soil reinforcement. Due to the large size of the slope, a stepped wall with six terraces was proposed, which would later be naturally vegetated. Each wall was locally dimensioned for a specified height, and then a global stability verification of the structure was carried out.The inclusion of geosynthetic reinforcements in the soil for the construction of a reinforced wall results in a material with better mechanical characteristics. This solution offers significant technical and economic advantages, increasing the shear strength of the system (ensuring stability), reducing the deformability of the structure (both in static and seismic conditions), and saving construction time and material. Thanks to their excellent interaction properties, reinforcement geosynthetics (flexible elements with stiffness and tensile strength) work together with the soil, connecting the potentially "unstable" region (active zone) with the "stable" region (passive zone) for a given failure surface. Furthermore, the system flexibility and adaptability allowed the structure to be adapted in an aesthetic way, respecting the site architecture and environment.

Global Stability Study of a Reinforced Concrete Building: Comparison between Grid and Space Frame Model with an Integrated Model

The verticalization in large urban centers has provided a series of new challenges for large buildings designers. The slender the structures are, more susceptible they are to second-order global efforts, making its verification indispensable for any reinforced concrete structure. As allies, technological advances and the processing power of computer systems have enabled greater productivity in the verification of the global stability of large buildings. Over the years, several structural models have been implemented in structural analysis and design, aiming to better simulate the actual behavior of structures. In view of this, the present work aims to perform a comparative analysis of the global stability of a reinforced concrete building, using the grid models associated with the space frame and the integrated model. Moreover, the research aims to verify the importance of the structural elements in the global stability of the building. In study two different structural systems were employed for the same building, verifying through the TQS software the conception that presents the best behavior according to the model used. Based on the results obtained, some guidelines are proposed regarding the use of structural models, indicating which one presents the best behavior according to the characteristics of the building.

مدى تمكن طلبة المرحلة المتوسطة لمهارات التفوق الدراسي

The research aims to : 1- The extent to which the students of the middle stage of academic excellence skills. 2- Identify the differences between middle school students in academic excellence skills. To achieve the goals of research researcher followed the descriptive approach through the following : 1- was a researcher tool to measure the prepared level enables students to academic excellence skills depending on the skills identified in the analysis card, which consisted of (45) items were verified charity through the presentation to the panel of judges, and through internal consistency, verification of stability mediated coefficient alpha Cronbach, which stood reliability coefficient (0.84), a high percentage rest assured the researcher to apply the test on the sample of the research and the researcher used the weighted equation iterations relative weight. 2- was verified through the following null hypothesis: “There are no statistically significant differences at the level of significance (0.05) between the average scores of male students and the average grades of female students for the intermediate stage in the academic excellence skills scale,” as the results showed no There are statistically significant differences between the mean scores of the male and female students’ academic excellence skills scale, as the average scores of male and female Therefore, the researcher made some recommendations, the most important of which are: 1- Holding educational seminars and training courses from the Ministry of Education for middle school physics and science teachers on academic excellence skills and how to develop them for students. 2- Preparing a physics teacher's guide that includes activities and situations that develop academic excellence skills. Keywords: middle school students, academic excellence skills

Stability Verification of Neural Network Controllers Using Mixed-Integer Programming

We propose a framework for the stability verification of Mixed-Integer Linear Programming (MILP) representable control policies. This framework compares a fixed candidate policy, which admits an efficient parameterization and can be evaluated at a low computational cost, against a fixed baseline policy, which is known to be stable but expensive to evaluate. We provide sufficient conditions for the closed-loop stability of the candidate policy in terms of the worst-case approximation error with respect to the baseline policy, and we show that these conditions can be checked by solving a Mixed-Integer Quadratic Program (MIQP). Additionally, we demonstrate that an outer and inner approximation of the stability region of the candidate policy can be computed by solving an MILP. The proposed framework is sufficiently general to accommodate a broad range of candidate policies including ReLU Neural Networks (NNs), optimal solution maps of parametric quadratic programs, and Model Predictive Control (MPC) policies. We also present an open-source toolbox in Python based on the proposed framework, which allows for the easy verification of custom NN architectures and MPC formulations. We showcase the flexibility and reliability of our framework in the context of a DC-DC power converter case study and investigate its computational complexity.