Switch Matrix Research Articles

FSTL1 protects against acute aortic dissection by suppressing vascular smooth muscle cell phenotypic switching and degradation of the extracellular matrix

Acute aortic dissection (AAD) is a life-threatening cardiovascular emergency, which is closely related to the vascular smooth muscle cells (VSMCs) phenotypic switching and extracellular matrix (ECM) degradation. Previous studies have found that the secreted extracellular glycoprotein Follistatin-like 1 (FSTL1) is demonstrated as a protective factor for cardiovascular diseases. However, the role of FSTL1 in AAD remains elusive. We aimed to investigate whether FSTL1 could regulate VSMCs phenotypic switching and ECM degradation in AAD. Firstly, we found that FSTL1 expression in aorta was significantly decreased in human AAD examined by western blot and immunohistochemical staining. Then we established a mouse AAD model by administering β-aminopropionitrile (BAPN) dissolved in drinking water for 28 days. We found that FSTL1 expression in aorta was also decreased in mouse AAD. Exogenous supplement with recombinant human FSTL1 protein could rescue VSMCs phenotypic switching and ECM degradation to reduce the occurrence and progression of mouse AAD. In vitro, FSTL1 protein and adenovirus overexpressing FSTL1 (ad-FSTL1) reversed the primary VSMCs phenotypic switching and decreased the expression of MMP2 induced by PDGF-BB. Knocking down FSTL1 initiates VSMCs phenotypic switching and increases the expression of MMP2. In terms of mechanisms, AMPK phosphorylation was decreased and could be improved by FSTL1 protein in mouse AAD. FSTL1 protein and ad-FSTL1 reversed the decreased AMPK phosphorylation induced by PDGF-BB in primary VSMCs. These findings indicate that FSTL1 protects against VSMCs phenotypic switching and ECM degradation in AAD, and targeting FSTL1 may be a potential new strategy for prevention and treatment of AAD.

Investigation of resistive switching behavior driven by active and passive electrodes in MoO2–MoS2 core shell nanowire memristors

Memristive devices based on layered materials have the potential to enable low power electronics with ultra-fast operations toward the development of next generation memory and computing technologies. Memristor performance and switching behavior crucially depend on the switching matrix and on the type of electrodes used. In this work, we investigate the effect of different electrodes in 1D MoO2–MoS2 core shell nanowire memristors by highlighting their role in achieving distinct switching behavior. Analog and digital resistive switching are realized with carbon based passive (multi-layer graphene and multiwall carbon nanotube) and 3D active metal (silver and nickel) electrodes, respectively. Temperature dependent electrical transport studies of the conducting filament down to cryogenic temperatures reveal its semiconducting and metallic nature for passive and active top electrodes, respectively. These investigations shed light on the physics of the filament formation and provide a knob to design and develop the memristors with specific switching characteristics for desired end uses.

PV Array Reconfiguration for Global Maximum Power Optimizing under Partial Shading Conditions based on PV Switched System

Background: Due to the partial shading effects on different photovoltaic (PV) modules in a PV array, PV module operating conditions are inconsistent, and PV array output power is significantly reduced. Although the maximum power point (MPP) of a non-uniform irradiance PV array can be observed through global maximum power point tracking (GMPPT), no evaluation of the array's energy potential has been done. Objective: One of the most effective solutions to overcome the negative effects of partial shading in PV systems is the PV array reconfiguration process. To optimize the electrical structure of the PV array as the PV modules are partially shaded in a non-uniform manner, this study proposes a promising technique for dynamic reconfiguring a PV array in order to improve the extracted maximum power from a PV array under partial shading conditions (PSC). Methods: PV modules are rearranged by iteratively sorting them to allow the PV array with nonuniform irradiance to produce as much power as possible. This is conducted by applying a switching matrix to implement a PV-switched system approach. The proposed system with different PV array dimensions (e.g., 3×4, 4×6, and 5×8) is assessed in order to validate the proposed algorithm. A MATLAB/Simulink PV array developed model is used to find the global maximum power point for the different PV array dimensions in both pre-reconfiguration and post-reconfiguration states. Results: A detailed numerical comparison of the extracted power from the proposed system has been provided. Conclusion: The results show that the proposed system has the potential to extract the exact global maximum power for a PV-switched system under PSC, irrespective of array dimensions, according to simulation results.

On the Use of an Electromechanical and a Solid-State Switching Matrix for a Portable Microwave-Based Brain Stroke Scanner

On the Use of an Electromechanical and a Solid-State Switching Matrix for a Portable Microwave-Based Brain Stroke Scanner

Role of macrophages in aortic dissection pathogenesis: insights from preclinical studies to translational prospective.

Aortic dissection is a critical vascular disease that is characterized by a high mortality rate and inflammation significantly influences its onset and progression. Recent studies highlight the integral role of macrophages, key players in the immune system, in the pathological landscape of aortic dissection. These cells are involved in crucial processes, such as the remodeling of the extracellular matrix, immunocyte infiltration, and phenotypic switching of smooth muscle cells, which are essential for the structural integrity and functional dynamics of the aortic wall. Despite these insights, the specific contributions of macrophages to the development and progression of aortic dissection remains unclear. This review explores the pathogenesis of aortic dissection with a focus on macrophages and describes their origins, phenotypic variations, and potential roles based on the most recent research findings. Furthermore, we discuss key molecules related to macrophages during aortic dissection, their interactions with other cellular components within the aorta, and the implications of these interactions for future therapeutic strategies. This comprehensive analysis aimed to improve our understanding of macrophages in aortic dissection and promote the development of targeted interventions.

A Faster Active Package to Cell Balancing of Battery Management System Using Isolated CUK Converter with Switch Matrix

This paper proposes a faster active package to cell (P2C) balancing battery management system (BMS) by using a proportion-integration (PI) controlled isolated CUK converter (ICC) with a cell-selective switch matrix (SWM). The high power capability of the ICC and a SWM that has the ability to select each cell individually or multiple cells in series increase balance speed. In addition, the low cost analysis and small size comparisons of the proposed study are presented. BMS is applied to battery packs to monitor the voltage, current, temperature, and state of charge (SoC) values of each cell and provide the battery pack with the ability to operate in a safe zone. One of the battery problems is that each battery cell in the pack does not contribute energy equally to the entire pack. Li-ion batteries that are used in this paper also suffer from this problem due to their higher energy density than other batteries. Therefore, a balancing operation is needed for the voltage and SoC of each cell. According to the average of battery cells, the entire pack charges the selected lower cells by converting the energy through ICC and switching the lower energized cells. Due to the isolation, the energy can be transferred from pack to cell. The proposed study is simulated in MATLAB Simulink and then implemented experimentally. The experimental studies produce a balancing speed of 9.64 mV/min with 81.98% efficiency. Finally, the result of the proposed study is compared with the other P2C methods in the literature. The comparison also showed that the proposed study is a cost effective solution.

Large‐Scale High‐Density Multimode Optical Switch Matrix

AbstractOptical switching technology is emerging as a solution to the limitations of traditional electronic switching. Combining optical switching with mode‐division multiplexing effectively overcomes the limitations of expanding switching capacity solely by increasing the number of ports. This paper introduces a compact four‐mode 2 × 2 optical switch and a four‐mode reconfigurable non‐blocking 4 × 4 optical switch matrix based on the Beneš architecture. The multimode 2 × 2 switch achieves an extinction ratio larger than 15 dB for all modes in the wavelength range of 1530–1590 nm. The multimode 4 × 4 switch matrix has an extinction ratio exceeding 9 dB for all modes and states in the C‐band, with a compact size (1.46 × 0.23 mm2) and low power consumption (0–154 mW). It supports high‐integrity 50 Gbaud PAM4 signal transmission with a bit error rate below the forward error correction limit. These devices pave the way for enhanced integration density and capacity in optical switching systems.

Tumor Dormancy and Reactivation: The Role of Heat Shock Proteins.

Tumors are a heterogeneous group of cell masses originating in various organs or tissues. The cellular composition of the tumor cell mass interacts in an intricate manner, influenced by humoral, genetic, molecular, and tumor microenvironment cues that dictate tumor growth or suppression. As a result, tumors undergo a period of a dormant state before their clinically discernible stage, which surpasses the clinical dormancy threshold. Moreover, as a genetically imprinted strategy, early-seeder cells, a distinct population of tumor cells, break off to dock nearby or extravasate into blood vessels to secondary tissues, where they form disseminated solitary dormant tumor cells with reversible capacity. Among the various mechanisms underlying the dormant tumor mass and dormant tumor cell formation, heat shock proteins (HSPs) might play one of the most important roles in how the dormancy program plays out. It is known that numerous aberrant cellular processes, such as malignant transformation, cancer cell stemness, tumor invasion, metastasis, angiogenesis, and signaling pathway maintenance, are influenced by the HSPs. An accumulating body of knowledge suggests that HSPs may be involved in the angiogenic switch, immune editing, and extracellular matrix (ECM) remodeling cascades, crucial genetically imprinted strategies important to the tumor dormancy initiation and dormancy maintenance program. In this review, we highlight the biological events that orchestrate the dormancy state and the body of work that has been conducted on the dynamics of HSPs in a tumor mass, as well as tumor cell dormancy and reactivation. Additionally, we propose a conceptual framework that could possibly underlie dormant tumor reactivation in metastatic relapse.

Optimizing Method for Photovoltaic Water-Pumping Systems under Partial Shading and Changing Pump Head

Photovoltaic systems for pumping water, based on direct current powered motor pumps, have great application in small rural regions without electrical networks. In addition, these systems provide environmental benefits by replacing fossil fuels. However, these systems reduce their performance due to partial shading, which is magnified by the internal mismatch of the PV modules. This work proposes an intelligent, low-cost, and automatic method to mitigate these effects through the electrical reconfiguration of the PV array. Unlike other reported techniques, this method considers the pump head variations. For that, the global voltage and current supplied by the PV array to the motor pump subsystem are introduced to an artificial neural network and to a third-order equation, which locates the shaded PV module and detects the pump head, respectively. A connection control implements the optimal electrical rearrangement. The selection is based on the identified partial shading pattern and pump head. Finally, the switching matrix modifies the electrical connections between the PV modules on the PV array without changing the interconnection scheme, PV array dimension, or physical location of the PVMs. The proposed approach was implemented in a real PV water pumping system. Low-cost and commercial electronic devices were used. The experimental results show that the output power of the PV array increased by 8.43%, which maintains a more stable level of water extraction and, therefore, a constant flow level.

Improvement of synaptic property of GeSe based CBRAM by engineering the deposition condition of switching matrix

A study of effect of deposition condition of germanium selenide (GeSe) switching layer to Conductive bridging random access memory (CBRAM) device property was conducted to enhance memory property and synaptic property. The devices deposited under the varied deposition conditions were analyzed by current distribution of each state (Low-resistance state [LRS], High-resistance state [HRS]), conduction mechanism analysis, chemical analysis, and synaptic analysis according to pulse conditions. When we deposited switching layer at lowest power (40 W), more Ag ions move to the switching matrix and make lower operation voltage. But there were some disadvantages, which were worst distribution and higher HRS current, less memory window, nonlinear and rapid increase of potentiation process. Conversely, although the device deposited at high voltage increased the operating voltage, but there are improvements, such as the highest memory window and improved linearity of potentiation. The best sample was conducted the synaptic property measurement, and the device successfully mimicked the biological synaptic property with the good linearity of potentiation and depression, spike-rate dependent plasticity (SRDP) and spike-timing dependent plasticity (STDP) properties.

Study on SR-Crossbar RF MEMS Switch Matrix Port Configuration Scheme with Optimized Consistency.

The performance consistency of an RF MEMS switch matrix is a crucial metric that directly impacts its operational lifespan. An improved crossbar-based RF MEMS switch matrix topology, SR-Crossbar, was investigated in this article. An optimized port configuration scheme was proposed for the RF MEMS switch matrix. Both the utilization probability of individual switch nodes and the path lengths in the switch matrix achieve their best consistency simultaneously under the proposed port configuration scheme. One significant advantage of this scheme lies in that it only adjusts the positions of the input and output ports, with the topology and individual switch nodes kept unchanged. This grants it a high level of generality and feasibility and also introduces an additional degree of freedom for optimizations. In this article, a universal utilization probability function of single nodes was constructed and an optimization objective function for the SR-Crossbar RF MEMS switch matrix was formulated, which provide a convenient approach to directly solving the optimized port configuration scheme for practical applications. Simulations to demonstrate the optimized dynamic and static consistencies were conducted. For an 8 × 8 SR-Crossbar switch matrix, the standard deviations of contact resistances of 128 units and losses of all 64 paths decreased from 1.00 and 0.42 to 0.51 and 0.23, respectively. These results aligned closely with theoretical calculations derived from the proposed model.

Current control for a supercapacitor-based battery equalization system

This paper presents a novel supercapacitor-based energy equalization system and discusses a new equalization current control method. The proposed battery equalization system is composed of a bidirectional boost–buck circuit, a switch matrix, and a supercapacitor, which can realize stable electric current transmission between batteries and supercapacitors. The buck or boost mode of the circuit is triggered automatically based on the threshold of the voltage drop between the battery and the supercapacitor. A modified control logic of the metal-oxide-semiconductor field-effect transistor is proposed to improve the efficiency of the circuit, and a model predictive control (MPC) algorithm is designed to track the target current. Simulation results indicate that for a conventional electric current transmitting circuit, the current fluctuates violently under a fixed pulse width modulation duty. In contrast, the proposed supercapacitor-based energy equalization system tracks the target current well under the control of the MPC controller. In a wide operating range, the transmission efficiency of the new energy equalization system with the modified control logic is 13.0% higher than that of the conventional electric current transmitting circuit with the original control logic.

Flexible waveband routing node architecture for spatial-division and multi-band optical networks [Invited

We propose a network architecture named flexible waveband routing (FWR) that adopts flexible path bundling and bundled path routing. This two-stage routing scheme can be implemented by a combination of small degree wavelength selective switches (WSSs) and optical matrix switches. As the optical-cross-connect (OXC) scale depends on just that of the matrix switches adopted, large-scale OXC nodes are realized by introducing recently developed high-port-count switches. FWR supports spatial division multiplexing efficiently through its introduction of spatially joint switching at WSSs. Multi-band transmission can also be supported by the use of WSSs handling different frequency bands. Numerical simulations and transmission experiments confirm its validity.

Development of a Digital Twin Framework for a PV System to Resolve Partial Shading

Digital twin (DT) is a prolific buzzword in this era, where digitization plays a significant role. The perception of solar energy harvesting has been gaining popularity with the advent of solar panels. Solar asset maintenance is a need of the hour for investors because of the smart city scheme and green building certificate evaluation for all industries, educational institutions, etc. Among the list of factors that reduce PV system efficiency, the issue of partial shading is a vital distress that must be resolved. This paper focuses on the development of a digital twin framework that is proactively driven by shading patterns and a proposed optimization-based reconfiguration embedded controller that electronically relocates the panel in the physical world. The real-time system has been created for a three-by-three series parallel panel arrangement. The proposed switching matrix controller achieves the maximum power, i.e., 40% of increased power output, row current difference is made almost zero from 3 to 4 A, and fill factor increases by 20% by reconfiguring the solar array. It is done based on a decision taken by a nature-inspired (equal irradiation distribution algorithm) or puzzle-based (skyscraper) optimization algorithm. Switching matrix controllers overcome the disadvantages of physical relocation. The users can query the digital twin build to know the historical performance and current operating conditions of the system. It can trigger alarms as early warnings and make predictions about possible system anomalies, if and when they occur using a digital twin.

Downregulation of LILRB4 Promotes Human Aortic Smooth Muscle Cell Contractile Phenotypic Switch and Apoptosis in Aortic Dissection.

Aortic dissection (AD) is a severe vascular disease with high rates of mortality and morbidity. However, the underlying molecular mechanisms of AD remain unclear. Differentially expressed genes (DEGs) were screened by bioinformatics methods. Alterations of histopathology and inflammatory factor levels in β-aminopropionitrile (BAPN)-induced AD mouse model were evaluated through Hematoxylin-Eosin (HE) staining and Enzyme-linked immunosorbent assay (ELISA), respectively. Reverse transcription quantitative real-time polymerase chain reaction was performed to detect DEGs expression. Furthermore, the role of LILRB4 in AD was investigated through Cell Counting Kit-8 (CCK-8), wound healing, and flow cytometry. Western blotting was employed to assess the phenotypic switch and extracellular matrix (ECM)-associated protein expressions in platelet-derived growth factor-BB (PDGF-BB)-stimulated in vitro model of AD. In the AD mouse model, distinct dissection formation was observed. TNF-α, IL-1β, IL-8, and IL-6 levels were higher in the AD mouse model than in the controls. Six hub genes were identified, including LILRB4, TIMP1, CCR5, CCL7, MSR1, and CLEC4D, all of which were highly expressed. Further exploration revealed that LILRB4 knockdown inhibited the cell vitality and migration of PDGF-BB-induced HASMCs while promoting apoptosis and G0/G1 phase ratio. More importantly, LILRB4 knockdown promoted the protein expression of α-SMA and SM22α, while decreasing the expression of Co1, MMP2, and CTGF, which suggested that LILRB4 silencing promoted contractile phenotypic transition and ECM stability. LILRB4 knockdown inhibits the progression of AD. Our study provides a new potential target for the clinical treatment of AD.

Flexible switch matrix addressable electrode arrays with organic electrochemical transistor and pn diode technology

Due to their effective ionic-to-electronic signal conversion and mechanical flexibility, organic neural implants hold considerable promise for biocompatible neural interfaces. Current approaches are, however, primarily limited to passive electrodes due to a lack of circuit components to realize complex active circuits at the front-end. Here, we introduce a p-n organic electrochemical diode using complementary p- and n-type conducting polymer films embedded in a 15-μm -diameter vertical stack. Leveraging the efficient motion of encapsulated cations inside this polymer stack and the opposite doping mechanisms of the constituent polymers, we demonstrate high current rectification ratios (105\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${10}^{5}$$\\end{document}) and fast switching speeds (230 μs). We integrate p-n organic electrochemical diodes with organic electrochemical transistors in the front-end pixel of a recording array. This configuration facilitates the access of organic electrochemical transistor output currents within a large network operating in the same electrolyte, while minimizing crosstalk from neighboring elements due to minimized reverse-biased leakage. Furthermore, we use these devices to fabricate time-division-multiplexed amplifier arrays. Lastly, we show that, when fabricated in a shank format, this technology enables the multiplexing of amplified local field potentials directly in the active recording pixel (26-μm diameter) in a minimally invasive form factor with shank cross-sectional dimensions of only 50×8 μm2\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\\mu m}^{2}$$\\end{document}.

Novel Active Battery Balancing Methodologies for Lithium Batteries: An Experimental Comparative Analysis

Inconsistency in the battery pack parameters results in an uneven state of charge (SoC). The active battery balancing method is an approach to equalize the SoC of the battery cells in a battery pack. In active balancing method, the battery having the highest SoC is made to equalize with the battery having the lowest SoC through the electronic circuits. However, it needs more cost and complex control circuits. To overcome this shortcoming, simple switching circuit‐based dynamic battery balancing techniques and row interconnected techniques are proposed. The proposed techniques are compared and analyzed with various conventional techniques. The experiments are conducted with 4.4 V, 6 Ah, 0.5 C lithium ferro‐phosphate battery cell and the battery pack consists of four cells. In the proposed techniques, the interconnections among the battery cells are altered using a switching matrix circuit. From the results, it is observed that the balanced row interconnected series–parallel dynamics and balanced row interconnected series–parallel have delivered superior performance under all the balancing conditions. Overall, the proposed technique enhances the battery storage capacity by 23.3% during the unbalanced SoC condition. The row interconnected series–parallel dynamics have achieved the average SoC of 96.14% under different balancing conditions.

A Harmony Search Switching Matrix Algorithm for Enhanced Performance of Solar PV Arrays During Non-Uniform Irradiance Scenarios

A Harmony Search Switching Matrix Algorithm for Enhanced Performance of Solar PV Arrays During Non-Uniform Irradiance Scenarios

Electrical performance of a fully reconfigurable series-parallel photovoltaic module

Reconfigurable photovoltaic modules are a promising approach to improve the energy yield of partially shaded systems. So far, the feasibility of this concept has been evaluated through simulations or simplified experiments. In this work, we analyse the outdoor performance of a full-scale prototype of a series-parallel photovoltaic module with six reconfigurable blocks. Over a 4-month-long period, its performance was compared to a reference photovoltaic module with static interconnections and six bypass diodes. The results show that under partial shading, the reconfigurable module produced 10.2% more energy than the reference module. In contrast, under uniform illumination the energy yield of the reconfigurable PV module was 1.9% lower due to the additional losses introduced by its switching matrix. Finally, a modification in the reconfiguration algorithm is proposed to reduce the output current–voltage range of the module and simplify the design of module-level power converters while limiting the shading tolerance loss.

Dual‐Objective Optimization for Maximizing Photovoltaic Output Power in a Two‐Stage Single‐Phase Grid‐Tied System

The effective utilization of photovoltaic systems (PVS) is significantly affected by partial shading (PS). Although total cross‐tied topology minimizes the power loss, the partial shading condition (PSC) decreases the output power generation and exhibits multiple power peaks in the Power Voltage characteristics. To address this issue, a dual‐objective optimization technique based on reduced search space equilibrium optimization (RSS‐EO) for a single‐phase, two‐stage grid‐connected PVS, is presented. The proposed technique accomplishes two objectives 1) maximizing power generation by reconfiguring the PV modules using a switching matrix based on irradiance equalization and 2) extracting the global maximum power (GMP) with faster convergence, negligible steady‐state oscillations, and reduced steady‐state error. The simulation and experimental results validate the effectiveness of the proposed RSS‐EO technique in efficiently distributing shade over the entire PV array and tracking GMP. The power enhancements achieved by RSS‐EO, particle swarm optimization, and Munkres are 23.03%, 20.02%, and 19.01%, respectively. Additionally, the proposed method exhibits an average mismatch power loss of 738 W, a fill factor of 58.1%, and a percentage power loss of 26.83%. Furthermore, the proposed algorithm is evaluated based on energy calculations and shows better performance by achieving the shortest payback period of 1.6 years.