Matching System Research Articles

BOMS: blockchain-enabled organ matching system

This work proposes a Blockchain-enabled Organ Matching System (BOMS) designed to manage the process of matching, storing, and sharing information. Biological factors are incorporated into matching and the cross-matching process is implemented into the smart contracts. Privacy is guaranteed by using patient-associated blockchain addresses, without transmitting or using patient personal records in the matching process. The matching algorithm implemented as a smart contract is verifiable by any party. Clinical records, process updates, and matching results are also stored on the blockchain, providing tamper-resistance of recipient’s records and the recipients’ waiting queue. The system also is capable of handling cases in which there is a donor without an immediate compatible recipient. The system is implemented on the Ethereum blockchain and several scenarios were tested. The performance of the proposed system is compared to other existing organ donation systems, and ours outperformed any existing organ matching system built on blockchain. BOMS is tested to ascertain its compatibility with public, private, and consortium blockchain networks, checks for security vulnerabilities and cross-matching efficiency. The implementation codes are available online.

Phase-locking-free all-optical matching system for 100 Gbaud QPSK optical signal

Photonic firewall is a monitoring protection device that will directly detect and locate optical network attacks at the optical layer, which can effectively ensure the security of optical networks. An all-optical matching system is the core part of photonic firewall, which determines the performance of a photonic firewall, so it is of great significance to research and develop all-optical matching system for high-speed and high-order modulation formats signals. At present, an all-optical matching system for binary modulation formats is relatively mature, but the all-optical matching system for high-order phase modulation format signals is still limited by how to solve the problem of phase synchronization. In this paper, a new all-optical matching system based on self-interference matching is proposed for quadrature phase shift keying (QPSK) optical signal, which avoids the introduction of local target sequence optical signals and phase-locking circuits. The theoretical analysis and simulation verification are conducted for the designed system. The results demonstrate that the system can accurately identify and locate 4-symbol or 8-symbol target sequences in the input QPSK optical signals with 16-symbol and 32-symbol data sequences at a data rate of 100 Gbaud.

Resonance frequency band structure in heterojunction of one-dimension string-ball chain system

Using the concept of heterostructures in semiconductor physics and the similarity between the Schrödinger equation and the vibration equation of the one-dimension string-ball chain system, we create a heterojunction in our string-ball chain system by assembling a string-ball chain with two kinds of mass in a lattice-matched and an unmatched system and study the two systems through first-principle calculation, theoretical analysis, and experiment perspectives. A discontinuity in the frequency dependence is observed in the matched system, while a phase transition is discovered in the unmatched system. A proper theoretical analysis based on the wave function is also given to explain these phenomena.

Preclinical prototype validation and characterization of a thermobrachytherapy system for interstitial hyperthermia and high-dose-rate brachytherapy

Background and purposeIntegrating simultaneous interstitial hyperthermia in high-dose-rate brachytherapy treatments (HDR-BT) is expected to lead to enhanced therapeutic effect. However, there is currently no device available for such an integration. In this study, we presented and validated the thermobrachytherapy (TBT) preclinical prototype system that is able to seamlessly integrate into the HDR-BT workflow. Materials and methodsThe TBT system consisted of an advanced radiofrequency power delivery and control system, dual-function interstitial applicators, and integrated connection and impedance matching system. The efficiency and minimum heating ability of the system was calculated performing calorimetric experiments. The effective-heating-length and heating pattern was evaluated using single-applicator split phantom experiments. The heating independence between applicators, the ability of the system to adaptable and predictable temperature steering was evaluated using multi-applicator split phantom experiments. ResultsThe system satisfied interstitial hyperthermia requirements. It demonstrated 50 % efficiency and ability to reach 6 °C temperature increase in 6 min. Effective-heating-length of the applicator was 43.7 mm, following the initial design. Heating pattern interference between applicators was lower than recommended. The system showed its ability to generate diverse heating patterns by adjusting the phase and amplitude settings of each electrode, aligning well with simulations (minimum agreement of 88 %). ConclusionsThe TBT preclinical prototype system complied with IHT requirements, and agreed well with design criteria and simulations, hence performing as expected. The preclinical prototype TBT system can now be scaled to an in-vivo validation prototype, including an adaptable impedance matching solution, appropriate number of channels, and ensuring biocompatibility and regulatory compliance.

All-optical matching systems based on the squarer for QPSK and 8PSK optical signals

Photonic firewall which can conduct the data identification and intrusion detection directly at the optical layer is a high-speed and low-energy network security equipment. For the photonic firewall, the all-optical matching system is the core part. This paper focuses on designing all-optical matching systems for high-order phase modulated optical signals. Based on the squarer, two all-optical matching systems are designed for Quadrature Phase Shift Keying (QPSK) and 8 Phase Shift Keying (8PSK) optical signals respectively. The systems mainly consist of squarers, multiplexers, AND gates and regenerators. The squarer is implemented based on the four-wave mixing (FWM) effect of highly nonlinear fiber (HNLF). The theoretical analysis and simulation verification are conducted for the proposed system. The performances of feasibility and noise impact are evaluated for the proposed system with the data rate of 100 Gbaud. The results show that the system can correctly identify and localize the target sequence with the length of 4 and 8 symbols in the data sequence with the length of 16 symbols. The impact of noise is evaluated by the extinction ratio (ER) and contrast ratio (CR). The ER of two all-optical matching systems reaches 0 dB when the optical signal-to-noise ratio (OSNR) of input optical signal is about 5.59 dB and 9.24 dB respectively. The CR of two all-optical matching systems reaches 0 dB when the OSNR of input optical signal is about 4 dB and 8.62 dB respectively.

Precision oncology and AI: The ACMA system for personalized treatment matching using real-world data.

e23134 Background: Precision oncology promises tailored cancer treatments, yet current methods often overlook individual patient variability. The AI-powered Case Matching Assistant (ACMA) system addresses this by utilizing real-world data (RWD) from over 100,000 clinical cases to personalize treatment strategies, considering genetic profiles, cancer types, treatment stages, and drug interactions. Methods: ACMA enhances the Large Language Model (LLM) with oncology-specific pretraining that encompasses both molecular and clinical data, ensuring a holistic understanding of patient profiles. It employs cosine similarity for multi-faceted case comparisons, integrating genetic, biomarker, and vital clinical information. Context-aware learning prompts fine-tune the LLM, generating recommendations that reflect the full spectrum of patient-specific data, from genetic variations to clinical histories and treatment responses, facilitating truly personalized treatment pathways. Results: Preliminary results show ACMA's tailored recommendations improve patient outcomes, with increased median survival rates and cost-effective treatment options. The system's 90% relevance match for clinical trial enrollment also expands access to novel therapies. In the absence of a standard treatment protocol for BRCA germline mutations in advanced lung cancer, ACMA provides crucial insights. For instance, a 36-year-old female with BRCA1 c.527del mutation achieved complete remission with a PFS of 38 months after a combination therapy trial. A 56-year-old male with a BRCA2 S1722Yfs*mutation saw partial remission and over 6 months PFS with olaparib. Another male patient, a smoker with concurrent BRCA2 G1712X and TP53 mutations, experienced partial remission following apatinib therapy. ACMA analyzed treatment data from similar genetic profiles and identified a targeted therapy that had shown efficacy in comparable cases. The oncologist used this information as a reference to adjust the treatment plan, resulting in a positive clinical outcome for the patient. This example underscores the potential of ACMA to provide actionable insights for personalized cancer care. Conclusions: Surpassing traditional single-feature matching, ACMA rapidly aligns multi-dimensional characteristics such as cancer type, disease stage, molecular data, and treatment phases. It customizes the interplay of these features with medical logic, delivering tailored outputs through the LLM. This approach offers an economical, convenient, and timely solution, setting a new benchmark in personalized oncology and establishing ACMA as a leader in the field. This distinctive advantage not only enhances patient outcomes but also establishes a formidable barrier to entry for competitors, solidifying ACMA's position at the forefront of oncology practice.

Effect of a novel artificial intelligence (AI) –enabled multi-trial matching system on patient matching using real-world data.

e13501 Background: Currently clinical research teams at sites are manually matching patients to clinical trials, where each trial in our experience takes at least 25 minutes using highly trained dedicated resources. This limits cancer patients’ clinical trial options and enrollment rates. Moreover, the lack of NGS testing results may also negatively impact matching to clinical trials in targeted therapies. PCC, a consortium of 7 of the Top 20 Pharmaceutical companies, collaborated with Massive Bio to demonstrate how cancer patients’ matching rates can be increased if patients are prescreened to multiple trials simultaneously (i.e. multi-trial matching) instead of a single trial and NGS testing results are integrated into the matching process. Methods: Massive Bio has developed a first-in-class AI-enabled matching system to extract 180 structured clinical data from medical records using computer vision and natural language processing and a recommendation system for matching patients to parameterized inclusion/exclusion (I/E) criteria from over 14,000 actively recruiting interventional clinical trials.Our analysis included a sample of 5,707 cancer patients from the Massive Bio Synergy AI real-world database, corresponding to tumor types in 23 selected trials. We developed a decision-tree algorithm for retrospective matching analysis using modeled I/E criteria and compared these results to the theoretical matching rate (TMR) for each trial based on tumor type and biomarker prevalence, extent of disease at diagnosis and prior treatment history. Results: 690 patients matched to at least one trial were matched to 1.82 times more trials in multi-trial matching; 2.10 times more potential matches were obtained with hypothetical 100% NGS testing; and 99.9% matching time was reduced with AI enabled system; key findings are summarized (Table). Conclusions: This study confirms the underutilization of NGS technology and substantial benefits of AI and NGS in cancer trial matching. Their use resulted in a nearly two-fold increase in potential patient eligibility for trials, and an unprecedented reduction in manual effort, underscoring a significant advancement in the efficiency of the clinical trial matching process. A prospective country-wide analysis is under consideration. [Table: see text]

An automatic Q-factor matching method for eliminating 77% of the ZRO of a MEMS vibratory gyroscope in rate mode

Mismatching quality factors (Q-factors) is one of the main factors causing zero-rate output (ZRO) in degenerate (DE) Micro-Electro-Mechanical Systems (MEMS) vibratory gyroscopes. To eliminate the ZRO of the DE MEMS gyroscope, this study introduces a method for real-time identification and automatic matching of Q-factors in rate mode. By leveraging the vibration characteristics of the DE MEMS vibratory gyroscope in rate mode, dedicated online test methods are designed to determine the Q-factors for both the drive and sense modes, enabling online identification of the Q-factor mismatching. Furthermore, an automatic Q-factor matching system is designed utilizing the mechanical-thermal dissipation mechanism of the resistive damper. The effectiveness of this proposed method is validated through simulations and experiments conducted on a MEMS disk resonator gyroscope (DRG). The results show a measurement error within 4% for Q-factor identification, and automatic Q-factor matching effectively reduces the ZRO by 77%. Employing this automatic Q-factor matching method successfully reduces the ZRO that is caused by the mismatching of Q-factors in the MEMS DRG from 0.11°/s to 0.025°/s and improves the bias instability (BI) from 0.40°/s to 0.19°/s.

#2822 Can KDPI estimate long-term graft survival in a cohort of Portuguese patients?

Abstract Background and Aims The Kidney Donor Profile Index (KDPI) was introduced in the United States in 2014 to support clinicians' decision-making regarding the acceptance or decline of potential donors. In Portugal, there is no valid stratification score to assist physicians in accepting or declining an organ offer. Our study aims to characterize a cohort of Portuguese kidney transplant recipients and donors and evaluate the correlation between KDPI and long-term graft survival. The results are interpreted considering the nuances of the Portuguese allocation system, which favors an age-matched donor-recipient allocation. Method We conducted an observational single-center retrospective cohort study, which included patients who received a deceased donor kidney transplant at our unit between January 2013 and December 2015. We excluded patients for whom the donor KDPI index was unavailable for retrieval. Besides the KDPI index, we collected data regarding the receptor's demographic, clinical, and immunological characteristics, as well as graft and recipient survival. The primary outcome was death-censored survival, and follow-up ended on the 31st of December 2023. The secondary outcome was survival with a functioning graft. Survival estimates were obtained using Kaplan-Meier curves. We performed univariate and multivariate survival analysis with log-rank tests and Cox proportional-hazards regression models. Results We selected 364 deceased-donor kidney recipients and 212 kidney donors. The mean KDPI was 60% and 53.3% of donors were classified as expanded criteria. The kidney recipients were predominantly male (68.4%), with a mean age of 50.16 years and an average of 4 HLA mismatches. Median follow-up was 102 months. Considering recipient characteristics according to pre-defined KDPI strata (≤ 20%, 21-85%, > 85%), recipients from higher KDPI were significantly older, with a mean age of 40.6, 48.8, and 61.1 years, respectively (p < 0.001), and had a higher average body mass index (p = 0.041). There were no significant differences regarding the number of HLA mismatches (p = 0.624) or the proportion of hypersensitized patients (p = 0.253) between classes. During follow-up, 16.8% patients presented graft failure and 9.9% died with a functioning graft. Cumulative death-censored graft survival at 5, 8, and 10 years was 87.7%, 87.1%, and 84.4% respectively. The cumulative percentage of patients living with a functioning graft at 5, 8, and 10 years was 83.6%, 76.7%, and 68.6%. Death-censored graft survival was lower in recipients of donors with higher KDPI (Fig. 1), although it did not reach statistical significance (p-value = 0.166). The number of HLA mismatches (p = 0.592) or the recipient's age (p = 0.513) did not significantly impact death-censored graft survival, whereas delayed graft function (DGF) was the variable with the strongest association in univariate analysis (p < 0.001). In a multivariate Cox regression model, KDPI (HR 1.02, p = 0.005) and DGF (HR 3.2, p < 0.001) correlated with graft loss, while older recipients (HR 0.971, p = 0.019) seemed to have a protective effect over death-censored survival. Patient survival with a functioning graft was significantly associated with KDPI strata (p = 0.008; Fig. 2), the recipient's age (p = 0.006), and DGF (p < 0.001) in univariate analysis. Considering KDPI kidneys ≥ 90%, 10-year cumulative death-censored survival was 67.9%. Conclusion In our sample, despite not reaching statistical significance, there was a trend for improved death-censored graft survival in patients with lower KDPI, which further emulates the results of other European cohorts. Nevertheless, the 10-year cumulative death-censored survival of higher KDPI kidneys (≥ 90%) was remarkable, showing that long-term acceptable outcomes can be achieved. The impact of KDPI on patient survival with a functioning graft is probably overestimated, given the bias introduced by the Portuguese matching system, which rewards an “old-for-old” donor-recipient allocation.

Design and operation of a load-tolerant ICRH system in Experimental Advanced Superconducting Tokamak

Ion Cyclotron Resonance Heating (ICRH) has been a dependable tool for sturdy plasma heating with high RF power of several megawatts. However, a sudden increase in the reflected power during ICRH heating experiments is a problem that should be solved for future fusion experimental devices. To solve this issue, a load tolerant matching network has been designed for the ICRH system in EAST. The matching network includes a 3-stub tuner impedance matching system with conjugate-T structure, 30 Ω to 50 Ω transmission line and center grounded antenna strap. By maintaining a low reflection ratio in the network for a wide range of resistance, this matching network can allow sturdy high-power operations without fast impedance matching in EAST. In our matching network, the two arms of a conjugate-T are designed to have a λ/2 length difference which could mitigate current imbalance and antenna poloidal phasing outside of the control problem. The T-point corresponds to the maximum point of the standing wave voltage, which could greatly improve the input impedance of the antenna.

Social App for Connecting Similar Interests People

In today's era, characterized by a profound desire for personal human connection, individuals seek to engage with like-minded people who share their interests, hobbies, passions, and ideological perspectives. Addressing this need, our social media app provides a platform for users to connect with others who resonate with their unique identities and aspirations. Built upon Flutter for frontend design and powered by Python algorithms for profile matching and recommendation systems, the app facilitates meaningful connections in both digital and physical realms. Alongside profile matching and recommendation features, the app offers a recommended system for real-world meetups, suggesting ideal venues such as restaurants, cafes, and hotels. Moreover, the app fosters the formation of communities around specific interests, ranging from classical singing to machine learning enthusiasts. Looking ahead, our vision extends into Web 3.0, where users can forge immersive virtual connections, enhancing the depth and authenticity of their interactions. Through these innovative features and future-oriented perspectives, our app endeavors to redefine social networking by enabling individuals to forge deeper, more meaningful connections aligned with their passions and aspirations.

Safety of DOACs in patients with Child-Pugh Class C cirrhosis and trial fibrillation.

Anticoagulation (AC) is used for stroke prevention in atrial fibrillation (AF). Direct Oral Anticoagulants (DOACs) are safe in patients with AF without cirrhosis, they are hardly studied in patients with advanced cirrhosis. Our study evaluates the safety and outcomes of DOACs in patients with Child-Pugh class C cirrhosis (CPC). We queried TriNetX Database. Patients with CPC and AF were divided into three cohorts: patients on DOACs, no AC, and warfarin. Three study arms were created using a 1:1 propensity score matching system (PSM). Totally 16 029 patients met the inclusion criteria. Of those, 20.2% (n = 3235) were on DOACs, 47.1% (n = 7552) were not on AC, and 32.7% (n = 5242) were on warfarin. First arm comparing AC versus no AC, a statistically significant benefit was identified in 3-year mortality risk (47% vs 71%, P < 0.0001) and transplant status (17% vs 5%, p < 0.0001) with AC. However, no significant difference was identified regarding intracranial hemorrhage and GI bleeding risk. Second arm comparing patients on DOACs versus no AC, we identified mortality benefit (40% vs 72%, P < 0.0001) and a higher transplant rate (9% vs 3.2%, P < 0.0001) with DOACs. Intracranial hemorrhage rates (6% vs 4%, P = 0.03) were higher in patients on DOACs. Third arm comparing patients on DOACs versus Warfarin, a statistically significant lower risk of intracranial hemorrhage (6.6% vs 8.7%, P = 0.004) and GI bleed (2% vs 2.4%, P < 0.0001) were identified in patients on DOACs. Anticoagulation is safe in patients with CPC with AF and may provide a mortality benefit. DOACs are a safer alternative to warfarin.

Detection of ion cyclotron emission by using an ion cyclotron range of frequency antennas-based diagnostic system in experimental advanced superconducting tokamak

In the experimental advanced superconducting tokamak (EAST), a novel ion cyclotron range of frequency (ICRF) antenna-based diagnostic system is designed to measure ion cyclotron emission (ICE) driven by high-energy ions. The diagnostic system includes ICRF antenna straps, a three-tune impedance matching system, a coaxial switching system, a direct current block, and a data acquisition and storage system. Using the coaxial switching system, the ICRF antenna can be switched from the heating mode to the coupling mode between two discharges. In the 2023 EAST experiment campaign, core ICE was observed using the ICRF antenna-based diagnostic system during neutron beam injection heating, and the obtained results agreed well with the signal detected by the previous high-frequency B-dot probe-based diagnostic system.

Effect of a 3D-printed reconstruction automated matching system for selecting the size of a left double-lumen tube: a study protocol for a prospective randomised controlled trial

IntroductionLung isolation is primarily accomplished using a double-lumen tube (DLT) or bronchial blocker. A precise and accurate size of the DLT is a prerequisite for ensuring its accurate placement. Three-dimensional...

The Design of a Speech Recognition-Based Finger Training Rehabilitation Device: Mechanical and System Aspects

Aiming to address the extended diagnosis and recovery period along with low efficiency in traditional stroke patient rehabilitation, this study introduces a speech recognition-based finger rehabilitation training control system. This system enables patients to perform finger exercises while providing feedback on finger angle, speed, and position. Furthermore, it offers rehabilitation physicians valuable data for evaluation and reference in finger rehabilitation. The system is divided into hardware circuitry, a lower computer control system, and a voice recognition human-computer interaction system, all working in conjunction with the finger movement perception system. By applying the Hidden Markov Model (HMM) algorithm to the voice interaction system for pattern matching, the finger rehabilitation system undergoes simulation testing. The results demonstrate that the proposed rehabilitation training system based on speech recognition meets design requirements, ensuring safety, reliability, and substantial application potential in future finger rehabilitation training.

Scholarship Matching System Using Naive Bayes And Random Forest

Scholarship Matching System Using Naive Bayes And Random Forest

Enhancing Educational Design Capabilities through Interactive Mobile and Adaptive Learning Platforms: An Empirical Study

With the continuous advancement of educational technology, interactive mobile and adaptive learning platforms are playing an increasingly important role in the field of education. This is particularly evident in the development of educational design skills among education students, as these platforms showcase their unique value. Educational design capability is a crucial skill for education students, directly related to the quality of designing and implementing future teaching activities. Traditional methods of education often fail to fully consider individual student differences, resulting in inadequate cultivation of personalized capabilities. This study aims to explore and achieve precise cultivation of educational design capabilities in education students through interactive, mobile, and adaptive learning platforms. This paper first reviews the current application of interactive mobile and adaptive learning platforms to cultivate educational design capabilities. It highlights deficiencies in existing research methods related to personalized matching and recommendation system design. To address these deficiencies, this study proposes a new set of adaptive matching methods. These methods include capability characteristic recognition based on competitive advantage thinking, the construction of individual strength models, as well as matching calculation, and decision- making scheme optimization using the projection decision method and the Hungarian method. Additionally, the study designs a learning project recommendation algorithm based on explicit ratings to enhance the accuracy and personalization of learning project recommendations. The application of these methods not only enhances the educational design capabilities of education students but also provides new theoretical support and practical guidance for the development of interactive, mobile, and adaptive learning platforms.

Sequential Computer Simulation of H-minus Ion Dynamics from Source to RFQ Exit with Beam Rotation

An end-to-end simulation of the beam dynamics in the system of extraction, beam transportation and the first section of the accelerator (RFQ) is carried out. The proposed method of modeling the dynamics of ions from the source to the exit from the RFQ made it possible to quickly and efficiently change the parameters of the matching system depending on the final results of the beam passing into the RFQ. A system for matching a beam of negative hydrogen ions has been developed and optimized, which makes it possible to rotate the beam to block the propagation of cesium into the accelerator channel and to match the beam with RFQ. As a result of optimization of the matching channel, it is possible to obtain an emittance increase in RFQ of no more than 25 % for 90 % of the beam fraction, while the capture of beam particles in the acceleration mode is 98 % of the injected beam. The increased drifts in the matching system leave enough space for the placement of diagnostic equipment, a vacuum system and a beam correction system. The dependence of the beam dynamics in the RFQ on the charge distribution over the beam cross section at the output of the matching channel is established.

The impact of cohort relationships on BIPOC genetic counseling students: Results from a longitudinal qualitative study.

The transition to graduate school is marked by stress, with academic demands and interpersonal interactions being primary concerns for genetic counseling students. For Black, Indigenous, and People of Color (BIPOC) graduate students, additional stressors caused by the "minority tax" and microaggressions impact their sense of belonging and inclusion. This prospective longitudinal study employed a constructivist grounded theory approach to investigate the experiences of first-year BIPOC genetic counseling students as they transitioned into the first year of their graduate training. We conducted semi-structured interviews with 26 first-year genetic counseling students at three key time points during their first year and analyzed them using reflexive thematic analysis. Here, we report themes related to stressors when transitioning into the genetic counseling training environment, the role of relationships as a source of support in navigating these challenges, and the impact of cohort dynamics on the training experience. Stressors included managing academic rigor and time demands, navigating microaggressions, reactions to discussions about diversity, equity, inclusion, and justice (DEIJ), and managing mental health. Peer relationships emerge as pivotal source of support, but challenging dynamics within the cohort negatively impacted participants, highlighting the importance of fostering an inclusive training environment. Since programs have less control over the composition of each cohort with the advent of the Match system in 2018, we recommend the use of community-building and debriefing activities to strengthen healthy relationships and address problematic dynamics. We recommend that training programs be proactive in creating mentoring relationships between faculty and students rather than waiting until students ask for help. Ultimately, we advocate for a holistic approach to genetic counseling training that maintains academic rigor but also prioritizes the creation of supportive, inclusive, and culturally sensitive learning environments for all students.

The output performance evaluations of multilayered piezoelectric nanogenerators based on the PVDF-HFP/PMN-35PT using various layer-by-layer assembly techniques

Multilayered Poly (vinylidene fluoride-co-hexafluoropropylene) (PVDF-HFP) and lead magnesium niobate lead titanate Pb (Mg1/3Nb2/3) O3–PbTiO3 (PMN-35PT) composition-based piezoelectric nanogenerators (PNGs) were fabricated as series, parallel, and combined series-parallel connections using various layer-by-layer assembly techniques. Supporting the theoretical approaches with experimental results shows that the fabricated four-layered PNG with parallel connections (4L-P) reached an open-circuit voltage of 0.4 V (VRMS) and a maximum electrical power of 0.3 µW (PRMS) by drawing a current (IRMS) of 1.46 µA under a resistive load of 140.2 KΩ. Increasing the capacitance and decreasing the impedance with the fabrication of the four-layer PNG by connecting the layers in parallel connection with the support of the impedance matching process led to an increase in electrical output. With the use of an impedance matching system, the piezoelectric performance tests revealed that the 4L-P-based PNG had a 6.7 times greater electrical power efficiency (72.92 µW) at the vibrational frequency of 20 Hz compared to that of the single-layered PNG (10.82 µW). Furthermore, the multilayer PNG was successfully used as a wearable sensor for the monitoring of human body motions in real time on an IOT (Internet of Things) platform.