Verification Step Research Articles

Design of Two Phase DC-AC Interleaved Boost Inverter with Voltage Control System using PI Controller

DC-DC Interleaved Boost Converter (DC-DC IBC) topology was developed through the interleaving technique since conventional DC-DC Boost Converter has many problems related to complex circuit control, harmonics, and output power. In this research, DC-DC IBC was developed into a Two-Phase AC-AC Interleaved Boost Converter (TP AC-AC IBC), then combined with a Two-Phase Full Bridge Inverter to become a Two-Phase DC-AC Interleaved Boost Inverter (TP DC-AC IBI). TP DC-AC IBI has several advantages, including minimal current and voltage ripples and greater output power because it consists of two AC-AC IBCs. This research aims to meet highly regulated AC voltage needs with the renewable energy source input using the proposed topology, by implementing Proportional Integral (PI) close loop control system. The output voltage is detected using a voltage transducer LV-25P, then compared with a reference voltage and controlled using a PI controller to keep the output voltage consistently stable. The switching signal setting uses the Sinusoidal Pulse Width Modulation (SPWM) technique by modulating the control output with a high frequency. As a verification step, testing was carried out using Power Simulator (PSIM) software and then validated by hardware testing in the laboratory. Testing was carried out using several test signals, and it was found that the proposed method worked well. System efficiency and Total Harmonic Distortion (THD) tests carried out using various load values, and a maximum efficiency of 93.87% and a minimum THD of 2.46% were obtained.

Blockchain-Based E-Voting System: A Decentralized Approach on the Ethereum Private Network

The e-voting system, which is based on blockchain technology, greatly improves the security, transparency, and integrity of electronic voting. This is achieved by using a decentralized ledger system that distributes the recording of votes, allows for public verification, and maintains voter anonymity through cryptographic methods. This resilient method guarantees that once a vote is submitted, it is securely recorded and cannot be changed without the agreement of network members, thereby protecting the integrity of elections. Built on the private Go Ethereum (Geth) network, this study implements an e-voting system that features validator nodes for transaction verification, user-friendly mobile applications for voter interaction, and comprehensive smart contract capabilities that define the voting process rules. The mobile application guides users from launching the app and authenticating their identity to selecting candidates and securely recording their votes, ensuring seamless connectivity to the blockchain and incorporating essential verification steps. Furthermore, the implementation process includes meticulous setup of Ethereum nodes, smart contract development, and thorough testing for functionality, performance, and security. The evaluation focuses on aspects like maintaining data transparency, user authentication, and resilience against unauthorized access, demonstrating high user satisfaction with the app's performance. Ultimately, this blockchain-based system addresses modern electoral challenges, ensuring a secure, transparent, and reliable voting experience that fosters trust among all stakeholders involved.

Unlocking transcription-coupled DNA repair with the STK19 key.

A study in Molecular Cell by Ramadhin etal.1 and two studies in Cell by van den Heuvel etal.2 and by Mevissen etal.3 show that STK19 is a key protein in transcription-coupled nucleotide excision repair (TC-NER) in mammalian cells by mediating the initial repair protein complex formation and subsequent TFIIH recruitment, thereby enabling the vital damage verification step.

INTERAKSI SOSIAL REMAJA PEMAIN GAME ONLINE MOBILE LEGENDS DENGAN TEMAN SEBAYA DI DESA INDRASARI KECAMATAN MARTAPURA

This research aims to find: (1) the forms of social interaction that occur among teenagers who play the online game Mobile Legends with their peers (2) the reasons why teenagers are interested in playing the online game Mobile Legends with their peers. The research method used in this study is a qualitative method. The selected research source is purposive sampling with 4 informants. Data collection techniques were carried out using participant observation techniques, interviews and documentation. The data analysis used uses data reduction, data display and verification steps. Testing the validity of the data used is source triangulation and technical triangulation and using reference materials. The results of the research found that (1) there are 4 forms of social interaction among teenagers playing mobile legends, namely Cooperation, Competition, Conflict and Accommodation (2) the reasons why teenagers are interested in playing mobile legends are 1) Motive Purpose (in order to motive) is the reason for playing games to fill free time and as entertainment. 2) Because Motive, namely, the reason for being interested in playing games is because many friends play mobile legends and the development of mobile legends games is increasingly interesting. Based on the results of this research, it is recommended that Mobile Legends online game players are advised not to become too addicted to playing Mobile Legends, especially for those who are still studying, it would be better to prioritize education before playing Mobile Legends. Students and the public are advised to know that the Mobile Legends online game does not always have a bad impact on life. Because from mobile legends game we can learn how to build cooperation between players, which can strengthen their social ties.

Numerical prediction of impact damage in thick fabric composite laminates

A simulation methodology for assessing the damage in thick fabric Carbon Fibre Reinforced Polymer (CFRP) composite laminates under low- and high-velocity impacts is presented. It encompasses steps for calibration, verification, and validation of the elastic and fracture material properties as well as determination of model parameters for the numerical simulations. Damage is modelled using a discrete fracture approach with cohesive interface elements that capture individual cracks occurring in and between plies. For computational efficiency, the method is implemented in a two-dimensional (2D) axi-symmetric model. Results from double-cantilever beam, end-notched flexure, and quasi-static indentation experiments align well with numerical simulations and serve to calibrate and verify the implementation of the discrete fracture approach. The methodology is extended to dynamic impact analysis to predict damage mechanisms, force–displacement histories, and is validated using test results. This methodology combines meaningful insight in the failure mechanisms with a manageable computational effort, achieving a factor 50 improvement compared to a benchmark. A parametric analysis summarised in failure maps relates damage mechanisms to impact energy, mass, and laminate thickness. The proposed methodology strikes a balance between computational efficiency and accuracy, making it a valuable tool for optimum design and certification of thick CFRP composite laminates under impact.

Monitoring of Endangered Freshwater Mussels in Sweden Using Digital PCR

ABSTRACTFreshwater mussels are traditionally monitored by visual observations which is time‐consuming and can be difficult depending on water conditions. Environmental DNA (eDNA) is an attractive alternative since it can detect a species in the water without visual observations. Furthermore, since the DNA can potentially travel downstream in the river systems, presence of a species can be detected even away from the population of mussels. In this paper, we evaluate and describe how dPCR (digital PCR) technique can be used to efficiently monitor four freshwater mussel species: the freshwater pearl mussel Margaritifera margaritifera from Margaritiferidae family and three species from Unionidae family: the depressed river mussel Pseudanodonta complanata, the painter's mussel Unio pictorum, and the thick shelled river mussel Unio crassus, which are all regarded endangered in many regions worldwide. dPCR assays for the four mussel species were developed and tested in silico before conducting field surveys. The verification step in the field was carried out in two Swedish rivers with confirmed populations of the freshwater pearl mussel (M. margaritifera). Furthermore, two other rivers with unknown presence of the endangered freshwater mussels were surveyed for occurrence of the four mussel species, using the capacity to multiplex several species simultaneously in a dPCR reaction. We furthermore showed that the target DNA concentrations probably depend on the season and water level, which may largely affect the detection probability and interpretation of the results in terms of population size.

A-182 Applications of artificial intelligence optical character recognition in laboratory clerical functions offsetting staffing shortages and error reduction

Abstract Background The clinical laboratory profession has been dealing with a decade long, and now critical retention and staffing problem. The average national turnover rate for laboratory technicians is 17%, and the highest turnover rate exhibited for phlebotomists is 36%. While turnover rates have an impact on a laboratory, or hospitals budget, more importantly they have a substantial impact on quality and error rates, particularly in the pre-analytical stage of testing; with studies showing up to 65.09% of errors impacting the pre-analytical phase. Methods In an effort to remedy this high error rate, a meta-analysis was performed on paper order entry and clerical pre-analytical error, in parallel with performance and accuracy data of advanced optical character recognition driven by artificial intelligence and machine learning (AI OCR). Results AI OCR studies demonstrated an untrained accuracy percentage, to include handwriting of 91.08%, and when trained utilizing both relational and hierarchal logic data bases accuracy increased to 98.4%. The rate at which AI OCR processed and classified medical information was 3-4 pages per second. It is estimated that 99.9%-100% accuracy can be achieved with additional form field training and mapping. The level of accuracy and efficiency for laboratory paper order-entry utilizing AI OCR can also be increased with the addition of natural language processing and data recognition algorithms when combined with logic databases containing information such as medical record numbers, ICD-10 codes, and laboratory test compendiums. Conclusions The performance of this technology demonstrates a strong application to reduce the burden of clerical paper order entry, while addressing the 30.8% dissatisfaction rate regarding manual entry processes among lab professionals surveyed. Moreover, AI OCR clerical data classification, extraction and entry processes augmented with human verification steps examined, demonstrated overall accuracy of 99.99%. The application of AI OCR in laboratory pre-analytical processes has the potential to improve test order accuracy and efficiency, ultimately impacting the quality of patient care and operational costs for healthcare facilities. When examined through the lens of staff retention, studies show that 80% of laboratory employees feel that a workplace with the necessary tools and technology positively impacts their job satisfaction. While organizations investing in technologies that drive both job efficiency and satisfaction see a 125% return on investment through productivity. Demonstrating that the application of sophisticated technologies that both increase productivity and decrease error rates have a substantial impact on job satisfaction and ultimately retention. Although laboratory clerical data and order entry processes were examined for this meta-analysis, the aggregate data compiled showed that the application of AI OCR in clerical processes could also have a substantial impact on the 25.9% annual turnover rate for hospitals as a whole in the United States.

Kesehatan Mental Siswa Pasca Pembelajaran Daring di SMA N 2 Pulau Punjung Kabupaten Dharmasraya

This study was motivated by the fact that some students felt stressed, had feelings of insecurity and discomfort with the changing learning system. They also often feel tired, lethargic in the teaching and learning process, they also often experience anxiety and feelings of stress. Some students also feel less confident, less good at understanding themselves, and less satisfied with their social relationships so that they do not feel happy with the learning system and they also find it difficult to adapt to their environment as a result of post-online learning. This type of research is descriptive qualitative research that describes the mental health of students after online learning at SMAN 2 Pulau Punjung. In collecting data, researchers used observation and interview techniques. Meanwhile, to analyze it, researchers used data reduction, data presentation, and data verification steps. The results of the study showed that the mental health of students after carrying out online learning at SMAN 2 Pulau Punjung, namely students have good mental health. More students have good mental health than bad, students have a healthy mentality characterized by students feeling comfortable and safe while studying, having high self-confidence, being able to understand themselves, getting satisfaction in social relationships (social interactions), having emotional maturity that is appropriate for their age, not having a disturbed personality, and being able to adapt to their environment and being happy with their current situation.

Coumarins rather than alkylamides evoke the numbing orosensation of pomelo peel

Liangpingyou, a well-known Chinese pomelo (Citrus grandis L.) variety, elicits a unique and uncharacterized numbing aftertaste. To understand the molecular bases and characteristics of the pomelo-induced numbing sensation, we first determined that hydroxyl sanshools, the major Sichuan pepper chemosensates, were not responsible via silylation-GC–MS analysis. Pomelo peel juice was then subjected to solid-phase extraction to form 4 fractions, and key sensory-active substances were screened via taste dilution analysis. Three simple coumarins, meranzin hydrate, isomeranzin, and marmin, were identified to induce numbing, which has not been previously reported. Sensory studies via extensively modified half-tongue tests and verification steps revealed recognition thresholds within 0.49–1.78, 0.32–1.56, and 0.43–1.46 μmol/L for numbness, pungency, and astringency, respectively. The temporal dominance trends showed the following taste notes: Meranzin hydrate–numbing dominated, isomeranzin–numbing and pungent, and marmin–astringent and numbing. Molecular docking analysis suggested that coumarins target the receptors TRPV1, TPRA1, and KCNK3

Unclonable Encryption-Verification Strategy Based on Bilayer Shape Memory Photonic Crystals.

The ability to reversibly exhibit structural color patterns has positioned photonic crystals (PCs) at the forefront of anti-counterfeiting. However, the security offered by the mere reversible display is susceptible to illicit alteration and disclosure. Herein, inspired by the electronic message captcha, bilayer photonic crystal (BPC) systems with integrated decryption and verification modules, are realized by combining inverse opal (IO) and double inverse opal (DIO) with polyacrylate polymers. When the informationized BPC is immersed in ethanol or water, the DIO layer displayed encrypted information due to the solvent-induced ordered rearrangement of polystyrene (PS) microspheres. The verification step is established based on the different structural colors of the IO layer pattern, which result from the deformation or recovery of the macroporous skeleton induced by solvent evaporation. Moreover, through the evaporation-induced random self-assembly of PS@SiO2 and SiO2 microspheres, unclonable structurally colored identifying codes are created in the IO layer, ensuring the uniqueness upon the verification. The decrypted code in the DIO layer is valid only when the IO layer displays the pattern with the predetermined structural color; otherwise, it is a pseudo-code. This structural color-based "decryption-verification" approach offers innovative anti-counterfeiting applications in nanophotonics.

Feasibility of the Compton Suppressed Gamma-ray spectrometry for proton therapy applications

The presence of the Bragg peak and its use in proton therapy cause less damage to healthy tissues. For optimal use of the proton beam in proton therapy, it is necessary to monitor the deviation of its range during treatment. The prompt gamma rays originated from the nuclear reactions of the proton beam with tissue elements can be applied for this purpose. The spatial distribution of prompt gamma rays can be used to estimate the range of the incident charged particles. Detecting a wide energy range of gamma rays, up to 10 MeV, is the most challenging step of the proton dose verification by using prompt gamma spectroscopy. Compton suppression is a system that is used to reduce the contribution of scattered gamma rays. This technique will cause better detection of the peaks of low-energy prompt gamma rays. In this research, the performance of a Compton suppression system has been investigated in two fields for proton therapy and for elemental analysis of materials using isotopes by a wide range of gamma energies. At first, by using the simulated Compton suppression system, the calculations of the prompt gamma ray spectra emitted from the brain phantom during the radiation of 150 MeV protons were presented. The results indicated that the low energy elements peaks such as 40Ca (1.37 MeV) with CSF equal to 1.138 appeared in the suppressed spectrum. Also, it was possible to detect 14N (2.31 MeV) and 16O (6.13 MeV) peaks equivalent to the CSF 2.449 and 2.067 respectively. In the next step, it was possible to detect the low energy peaks of 152Eu and 155Eu isotopes in the suppressed spectrum. For this purpose, the minimum relative intensity required to detect all 152Eu and 155Eu peaks was equivalent to 0.001 and 0.002 respectively. CSF for the lowest energies such as 105 keV and 344 keV was equal to 1.169 and 1.184. The simulation was done using the GEANT4 Monte-Carlo toolkit.

ANALISIS PENERAPAN ELEMEN PROSES PEMBELAJARAN BERDIFERENSIASI DALAM PELAJARAN IPAS DI SD INPRES LILIBA KOTA KUPANG

The purpose of this research is to determine the implementation of the Differentiated Learning Process Elements in Science and Technology Lessons at SD Inpres Liliba, Kupang City. The type of research used is qualitative research using a descriptive approach. The data collection techniques used in this research were observation, in-depth interviews and documentation with grade IV teachers, school principals and students at SD Inpres Liliba, Kupang City. The collection instruments in this research are observation sheets, interview guides or question sheets. Data were analyzed using the Miles & Huberman model with a sequence of steps for data collection, data reduction, data verification, data presentation, and drawing conclusions. The validity of the data in this research was carried out using source triangulation, technical triangulation and time triangulation techniques. The results of the research show that the implementation of the differentiated learning process at SD Inpres Liliba, Kupang City is implemented at every grade level (I-VI). Learning activities are going well. This can be seen from the completeness of the elements of the differentiated learning process at each stage carried out by the teacher, including: 1) Planning, which consists of preparing guiding questions and implementing tiered activities that have various levels of challenge and complexity. 2) Implementation, which consists of carrying out discussion activities in class according to students' interests and learning profiles, developing learning activities that vary according to students' learning styles (visual, auditory, kinesthetic), and forming flexible learning groups. 3) Evaluation, using assessment instruments such as skills assessment, attitude assessment, knowledge assessment and learning activity assessment as well as class exhibitions to appreciate students' work.

PENGAMANAN DATA EKSTENSI FILE PDF DENGAN ALGORITMA AES DAN OTP

The rapid development of technology presents new challenges in maintaining data security and privacy, especially concerning the security and confidentiality of documents that are vulnerable to eavesdropping and theft. Cryptography is the art and science of maintaining the confidentiality of messages using mathematical techniques related to data security, such as privacy, data integrity, and authentication. Cryptography can be applied in various sectors to enhance data security and protect sensitive information from risks such as unauthorized access, theft, and misuse of personal data. For instance, PDFs, which are digital document formats, are often used for various purposes, such as online applications, registrations, and digital transactions. AES (Advanced Encryption Standard) is a widely used encryption algorithm for protecting data, and the use of OTP (One Time Password) is a security technique that requires two different steps of verification to access a system. The AES algorithm provides strong security by utilizing complex transformations that make it very difficult to break, and the addition of OTP further enhances data security before it is returned to its original form.

Hamiltonian Identification via Quantum Ensemble Classification.

Identifying the Hamiltonian of an unknown quantum system is a critical task in the area of quantum information. In this article, we propose a systematic Hamiltonian identification approach via quantum ensemble multiclass classification (HI-QEMC). This approach is implemented by a three-step iterative refining process, i.e., parameter interval guess, verification, and judgment. In the parameter interval guess step, the parameter interval is divided into several sub-intervals and the true Hamiltonian parameter is guessed in one of them. In the parameter interval verification step, cross verification is applied to verify the accuracy of the guess. In the parameter interval judgment step, an adaptive interval judgment (AIJ) algorithm is designed to determine the sub-interval containing the true Hamiltonian parameter. Numerical results on two typical quantum systems, i.e., two-level quantum systems and three-level quantum systems, demonstrate the effectiveness and superior performance of the proposed approach for quantum Hamiltonian identification.

Integral-scale validation of the SCIANTIX code for Light Water Reactor fuel rods

Mechanistic multi-scale modelling holds the potential to inform fuel performance codes by incorporating high-fidelity models, algorithms, parameters, and material properties. In this context, meso-scale codes emerge as valuable tools for developing detailed models and performing separate verification and validation steps. This work focuses on SCIANTIX, an open-source 0D meso-scale code designed to describe the behaviour of gaseous and volatile fission products in nuclear oxide fuel. The code predominantly employs engineering physics-based behavioural models featuring computational times that align with typical fuel performance code requirements. Given the numerical foundation of the code, it is applicable to both stationary and transient conditions. Following a recent work outlining the standalone SCIANTIX (version 2.0) performance and its separate-effect validation database, we present its performance when coupled with fuel performance codes to simulate light water reactor fuel rods. The experiments selected for the comparative analysis constitute an initial integral validation database. The comparison focuses on conventional engineering quantities of interest, such as integral fission gas release, demonstrating the satisfactory performance of the code. Additionally, it highlights the potential advantages of multi-scale modelling over conventional semi-empirical approaches.

OSSIntegrity: Collaborative open-source code integrity verification

Open-source software (OSS) libraries have become popular among developers due to their ability to reduce development time and costs. However, OSS can also be exploited and used as a means of conducting OSS supply chain attacks. In OSS attacks, malicious code is injected into libraries used by the target. Previous studies have proposed various methods for preventing and detecting such attacks, however most of them focused on untargeted attacks. In contrast, this paper focuses on targeted OSS supply chain attacks which are performed by skilled and persistent attackers with strong technical aptitude. Targeted OSS attacks are crafted towards a specific target (i.e., developer). Since these attacks do not target general OSS repositories, they tend to go under the radar for a long period of time, allowing an attacker to gain access to sensitive data or systems. In this paper, we propose (SC)2V — secure crowdsource-based code verification, a novel distributed and scalable framework for verifying OSS libraries. (SC)2V is aimed at preventing targeted supply chain attacks and is integrated in the build phase of software production, serving as an additional code verification step before packaging the application and deploying it. (SC)2V involves both users (developers seeking to verify an OSS library) and verifiers that contribute to the collaborative verification effort. (SC)2V considers a library as verified and safe when a consensus is reached among the verifiers. We evaluated the proposed method using eight different attack scenarios (including cold start and edge cases), on around 900 popular OSS libraries and their dependencies, each of which included an average of 10 files and was verified by at least five participants; a total of 127,000 files were evaluated, and the results indicate that it took our framework an average of just 26 s to issue an alert against the attacks.

Comparison between ultrasonography and capnography for ascertaining placement of endotracheal tube in patients undergoing general anesthesia – A prospective observational study

Background: Confirmation of the position of the endotracheal tube (ETT) is an essential step for verification of intubation. Failure to diagnose esophageal intubation may lead to fatal consequences. Capnography is the gold standard for confirmation of ETT position, but it is practically impossible to be performed in all situations. Ultrasonography (USG) or “visual stethoscope” can be used as an effective alternative for all intubators in all situations. Aims and Objectives: The study was conducted to evaluate the ultrasonography (USG) technique with respect to its efficacy to detect the proper endotracheal position of ETT compared to end-tidal capnography among patients undergoing general anesthesia; to compare the time taken by the USG technique with that of capnography for detection of proper placement of ETT; to assess the feasibility of USG to detect accidental esophageal intubation. Materials and Methods: This prospective comparative cross-sectional observational study was conducted on 68 patients. Both capnography and upper airway USG were performed immediately after intubation to confirm the ETT placement. Sensitivity, specificity, and positive and negative predictive values of upper airway USG were determined against capnography as the reference method. The time required to determine ETT placement by the two methods was found out and compared. Agreement between the methods was assessed with kappa statistics. Results: USG detected all three cases of esophageal intubation but could not detect two patients with correct tracheal intubation. Upper airway USG had a sensitivity of 96.92% (95% confidence interval [CI]: 93.54–100%), specificity of 100%, positive predictive value of 100%, and negative predictive value of 60% (95% CI: 50.4–69.6%). The Kappa value was found to be 0.735, indicating a good agreement between upper airway USG and capnography for confirmation of ETT placement. Time taken for confirmation of ETT by capnography was 21.68±2.63 s versus 11.44±1.38 s for upper airway USG (P<0.001). USG demonstrated bilateral lung sliding in 60 (88.2%) patients, unilateral lung sliding in 3 (4.4%) patients, and lung sliding was absent in 5 (7.4%) patients. Conclusion: Real-time upper airway USG is an alternative method of confirmation of ETT that is not only sensitive and accurate but is faster than the current gold standard method, capnography.

Student Organization Website with E-Voting Feature by Using Student Card Verification Concept Design

Student organizations hold an election to decide their next head and vice head every year. The best voting method for student organizations is to use an independent website with a voting system. The voting system can use students’ identity card and their student email as base for verification. OCR and face detection can be used for extracting all the needed information to validate the student card and verify it with the corresponding student email input. Other than the voting system, the website can be used to promote the student organization itself. The website was built using Nuxt for its front-end, Firebase for its back-end, and Cloud Vision API for its OCR and face detection module. There is a Lighthouse test, a stress test for the voting system, and a test to determine the optimal file size for the voting system. The results are a website that has an average Lighthouse score of 97.58. The stress test, which used a script that does submission repeatedly, results suggest that the voting system can handle up to 2000 voters at the same time. The optimal file size determined by the authors to be 500KB as the result of its test. The conclusions are a great performing website with a voting system can be built using Nuxt and Firebase, the voting system can be improved by adding another step of verification, and it’s best to use and image with a file size above 250KB when using Cloud Vision API for optimal results

Realizing Peace in the Digital World

The dissemination of messages of peace on social media has a significant impact on shaping public opinion and attitudes toward social and political issues. However, there is still limited understanding of how messages of peace are disseminated and received by social media users. This research aims to explore and understand how messages of peace are disseminated and understood by social media users, as well as the factors influencing this process. A qualitative approach is used in this research with data collection procedures through online observation and in-depth interviews with 30 social media users. Data were analyzed through data restatement, data display, and data verification steps. The findings of the research indicate that social media users have various ways of disseminating messages of peace, ranging from sharing positive content to debating controversial issues with a peaceful approach. Factors such as content, social context, and user identity influence the effectiveness of messages of peace in achieving their dissemination goals. This research concludes that the dissemination of messages of peace on social media is a complex phenomenon influenced by various factors. However, with a deeper understanding of patterns and factors influencing the dissemination of messages of peace, more effective strategies can be developed to promote peace and tolerance in the online world.

Optimising High-Pressure Processing (HPP) for Optimal Total Phenolic and Flavonoid Content in Kelulut (Stingless Bee) Honey

High-pressure processing (HPP) has the potential to enhance the total phenolic and flavonoid content (TPC and TFC) in Kelulut honey (KH). However, KH’s inherent variability possesses challenges in optimising these phytochemicals. This study hence explores the optimisation of KH through HPP, focusing on TPC and TFC. The Face-centered Central Composite Design (FC-CCD), involving two factors with three levels each (pressure of 200, 400, and 600 MPa, and time of 5, 10, and 15 min), was applied to investigate two response variables (total phenolic and flavonoid content). The optimisation identified the optimal parameters as 200 MPa for 15 min, with a desirability of 0.986, indicating precise modeling. Compared to other pressures (400 and 600 MPa) at common processing time (15 minutes), 200 MPa recorded higher TPC and TFC with differences of 25.71% to 30.92% and 13.78% to 14.19%, respectively. A verification step revealed that HPP-KH at 200 MPa for 15 minutes yielded a TPC of 15.278 ± 0.525 mg GAE/100 g and a TFC of 38.274 ± 1.980 mg RE/100 g, indicating the precise accuracy of the quadratic modeling. However, this discovery contradicts the consensus that pressures above 500 MPa increase TPC and TFC. Consequently, it underscores the need for tailored high-pressure strategies in KH processing, offering essential insights for industry applications and further research endeavors.