On-line System Research Articles

Promoting quality education through blended learning during and post COVID-19 pandemic

Purpose The COVID-19 pandemic has had a devastating impact on all facets of education. This led to educational institutions deploying blended and online systems for teaching and learning. The purpose of this study was to assess the role of blended learning in promoting quality education during the COVID-19 pandemic. Design/methodology/approach The qualitative research design was deployed in this study and enabled the researcher to collect data via in-depth interviews. Twenty-five (25) tertiary institutions accredited by the Ghana Tertiary Education Commission (GTEC) were randomly selected to participate in this study. The registrars of the institutions were purposively selected and served as the participants for the study. Thematic content analysis was used to analyze the data collected via the interview. Ethical considerations were adhered to during the study. Findings The study established that COVID-19 had a devastating effect on tertiary institutions; multiple technological and open-sourced systems were deployed for teaching and learning; blended learning was adopted to augment the traditional face-to-face mode of teaching and learning due to its ease of use, usefulness and accessibility as it was used for quizzes and assignments, accessing lecture notes, among others. Despite these, the deployment of technological and blended systems was met with challenges that somehow affected effective teaching, learning. Research limitations/implications The study was limited to 25 tertiary educational institutions in Ghana. It was again limited to the COVID-19 era. Practical implications This research aids in understanding the extent of the impact of COVID-19 on teaching and learning and how blended learning is currently deployed and used in tertiary institutions in Ghana. The findings are relevant to policymakers and management of educational institutions as it informs them of the right method and tools to deploy for teaching and learning during pandemics. Originality/value As educational institutions globally are dealing with the effect of the COVID-19 pandemic, it is prudent to look into how tertiary institutions in Ghana deploy blended learning to facilitate teaching and learning. Thus, this paper is original as it fills the relevant literature gap in terms of scope, setting, methodology and findings.

Implementing a streamlined data access governance process for the release of routinely collected electronic health record data for research

ObjectivesIn Australia, there are no standardised processes for the release of Electronic Health Record (EHR) data for research. We describe our streamlined ethics and data access governance framework for the release of EHR data for research. ApproachIn consultation with our academic and health service partner organisations and with reference to national and international standards, we developed a process to safely and efficiently release EHR data for research. The Five Safes Framework guided our processes ensuring: safe people; safe projects; safe settings; safe data; and safe outputs. Piloting of processes has commenced. ResultsStreamlined data access and release processes acceptable to all stakeholders were implemented using an online system. Independent researcher and consumer review of an Expression of Interest, followed by ethics review/approval from the health service research office ensures projects are methodologically and ethically sound. Completion of a detailed technical assessment form, implementation of a signed data use agreement and release of de-identified data to a secure e-research environment promotes safe data and settings. Constraints around publication are enforced via pre-publication review ensuring safe outputs. Nine projects are in process using our system with an average of 4 days for EOI review and 6 days for TAF review. ConclusionWe have established a streamlined data access pathway to minimise duplication of effort and allow timely and secure access to EHR research data. We have built in efficiencies and promoted a cultural shift for clinicians who have previously not had data access processes governed in this way.

Implementing a Three-Step Security Protocol for Advanced Online Election Systems: A Novel Approach

Organization of voting is the strength of character of all equalitarianism and system. Our country utilize an offline voting systems that are incompetent and disorganized by cause of the demand for abundant man power, and more refinement time for announcement outcome. Our Online Voting System aims at minimizing the division between traditional voting methods by facilitating and updating them. Our system makes it possible for voters to vote their favorable candidates from home through safe and stable online voting. By integrating India's Aadhaar card system and implementing OTPs (One Time Passwords) for better security, ensure a resilient and trustworthy voting process with full integrity. Once they login, voters are led through a strict authentication rules that checks for the genuineness of their ID cards before allowing them to continue. This comprehensive verification mechanism provides that only individuals who meet the requirements are able to participate thereby considerably decreasing the chance for electoral fraud. In addition to that, we also ensure that the system gives space to vote in secret and the votes are protected using strong cryptography measures. Our platform aims at fulfilling this object by leveraging advanced technologies. In this regard, we work towards a better and more egalitarian and democratic electoral system.

Learning Problems in the Implementation of the Independent Curriculum in State Junior High Schools

This research explores the evolution of the education curriculum in Indonesia, which often changes with changes in ministers, and explains its impact on the quality of learning, especially during the COVID-19 pandemic which forced a transition to an online system. The purpose of this research of knowing and describing Learning Problems in the Independent Curriculum that occurred at SMPN 2 Seberang Musi Kepahiang. This research departs from the background of the many phenomena surrounding learning problems in the Independent curriculum and various policies regarding the Independent curriculum. The research question raised is how learning problems in the Independent curriculum at SMPN 2 Seberang Musi Kepahiang are problematic. The research was conducted with a qualitative type of field research. Data was collected by interviewing school principals, curriculum representatives, and teacher councils as well as making observations SMPN 2 Seberang Musi Kepahiang. The results of these interviews were analyzed and then presented in a descriptive form. The results of this analysis can answer the questions formulated in the research questions. The results of this analysis are in the form of learning problems in the Independent curriculum originating from the government in the form of less than optimal guidance and assistance in the implementation of the Independent curriculum. In addition, there are also problems originating from teachers in the form of a lack of teacher ability to utilize Independent teaching platforms and utilize technology to learn and understand Independent curriculum.

Awareness, access, and adoption of natriuretic peptides for diagnosis of heart failure.

This survey investigates natriuretic peptide (NP) testing in community and hospital settings, assessing awareness, accessibility, and utilization. This investigator-initiated survey, conceived within the HFA of the European Society of Cardiology, comprised 14 questions. It underwent validation and pilot testing to ensure question readability and online system functionality. The survey was accessible for 87days, from 5 April 2023 to 1 July 2023 via a web platform. There were 751 healthcare professionals across 99 countries who responded. Of them, 92.5% had access to NPs testing in hospital whereas 34.3% had no access to NTproBNP in community settings. Access to point of care NP testing was uncommon (9.6%). Public insurance fully covered NPs testing in 31.0% of cases, with private insurance providing coverage in 37.9%. The majority (84.0%) of participants believed that the medical evidence supporting NPs testing was strong, and 54.7% considered it cost-effective. Also, 35.8% found access, awareness, and adoption to be in favour of NPs testing both in hospital and community settings. Strategies to optimize NP testing involved regular guideline updates (57.9%), prioritizing NPs testing for dyspnoea assessment (36.4%), and introducing clinician feedback mechanisms (21.2%). Notably, 40% lacked a community-based HF diagnostic pathway for referring high-NP patients for echocardiography and cardiology evaluation. This survey reveals NP awareness, access, and adoption across several countries. Highlighting the importance of community-based early heart failure diagnosis and optimizing HF diagnostic pathways remains a crucial, unmet opportunity to improve patient outcomes.

A method of maize seed variety identification based on near-infrared spectroscopy combined with improved DenseNet model

The development of a real-time online system for rapid and non-destructive identification of seed varieties can significantly improve production efficiency in modern agriculture. Near-infrared spectroscopy technology has become one of the commonly used techniques in seed variety identification due to its fast and non-destructive characteristics. However, existing convolutional neural networks are difficult to reflect the complex nonlinear relationships of the near-infrared (NIR) spectrum, resulting in poor modeling performance, and their high model complexity is not conducive to real-time online identification tasks. Therefore, this study proposes a maize seed variety identification method using near-infrared spectroscopy technology and lightweight deep learning network (BAC-DenseNet). First, a total of 750 samples from 5 different types of maize seeds were taken as the research object. The spectral data were pre-processing using the SGD2-SNV, and the identification accuracy was improved by an average of 15.78 %. Then, the attraction–repulsion optimization algorithm combined with Laplacian Eigenmaps (AROA-LE) was used to perform dimension reduction on the pre-processed data, and the dimensionality was reduced from 1845 to 66. Finally, a lightweight deep learning network model (BAC-DenseNet) was constructed based on DenseNet-121 network with layer pruning and the introduction of batch channel normalization (BCN), self-attention and convolution mixed module (ACmix) and convolutional block attention module (CBAM). The experimental results show that the proposed BAC-DenseNet model has an identification accuracy of 99.33 %. Compared with the original network and seven other classical deep learning models, the proposed method has an average improvement of 2.83 %, 3.52 %, and 3.47 % in accuracy, Kappa, and MCC, respectively. Meanwhile, Params, Size, and FLOPs decreased by an average of 9.09 M, 35.08 MB, and 88.66 M, respectively. This method offered high accuracy and reliability in maize seed variety identification, which can provide qualitative indicators for the breeding, planting, and management of maize seed varieties. This study can provide a reference method for variety identification of other agricultural products.

Nursing Care For Patients With Stroke Victims: An Integrative Review

The study aims to analyze the nursing care offered to patients who have suffered a stroke; identify the main risk factors and forms of prevention; describe the main conducts adopted by the nursing team to patients suffering from a stroke. As a method, it is characterized as an integrative literature review study. The search was carried out during the months of July and August 2024, in the databases: Medical Literature Analysis and Retrieval Online System (Medline), Latin American and Caribbean Literature in Health Sciences ( Lilacs ), Scientific Electronic Library Online (SciELO), Nursing Database (BDENF), National Library of Medicine (NLM/ PubMed ) and ScienceDirect . Using the combination of descriptors contained in the Health Sciences Descriptors ( DeCS ), the following descriptors were used in English, Portuguese and Spanish: “Stroke Vascular Accident” AND “Nursing Care” AND “Cerebrovascular Accident” in conjunction with the Boolean operator OR. Ten articles were selected. As a result, three categories were highlighted according to thematic similarity: Stroke (CVA) and risk factors; nursing care offered to patients who are victims of Stroke and the conduct adopted by the nursing team in the care of patients with Stroke. Finally, it is of great relevance to highlight the assistance to patients affected by Stroke, thus emphasizing that the nursing area is composed of professionals dedicated to offering assistance and care that aim at both the prevention of the disease, treatment, cure, and the rehabilitation of patients, providing quality assistance, applying conducts based on scientific knowledge

Self-Regulated Learning in Student with Online Learning System

This research aims to explore and understand more deeply the application of self-regulated learning among students who attend lectures with an online system. The research method used is a qualitative approach with a phenomenological design. The research subjects were selected using purposive sampling techniques, and data were collected through observation and in-depth interviews. This research focuses on one student subject who takes online lectures. The findings of the study show that subjects apply self-regulation in learning through three main phases, namely: (1) Forethought, (2) Performance, and (3) Reflection. The Forethought phase includes planning and self-confidence, the Performance phase involves self-regulation and observation, and the Reflection phase includes self-assessment and evaluation. The results of this study are expected to provide valuable insights into self-regulation strategies in the context of online lectures and recommendations for students to improve the effectiveness of their learning. This research aims to explore and understand more deeply the application of self-regulated learning among students who attend lectures with an online system. The research method used is a qualitative approach with a phenomenological design. The research subjects were selected using purposive sampling techniques, and data were collected through observation and in-depth interviews. This research focuses on one student subject who takes online lectures. The findings of the study show that subjects apply self-regulation in learning through three main phases, namely: (1) Forethought, (2) Performance, and (3) Reflection. The Forethought phase includes planning and self-confidence, the Performance phase involves self-regulation and observation, and the Reflection phase includes self-assessment and evaluation. The results of this study are expected to provide valuable insights into self-regulation strategies in the context of online lectures and recommendations for students to improve the effectiveness of their learning.

Development, optimization and validation of automated volatile organic compound data analysis using an on-line thermal desorption gas chromatograph with dual detection and application to measurements in ambient air

Because of their major role in indoor and outdoor air pollution, even at trace levels, VOCs are of great interest, and their monitoring requires sensitive analytical instruments. Several techniques are commonly used, such as portable sensors, Proton Transfer Reaction Mass Spectrometry (PTR-MS) and Thermal Desorption Gas Chromatography (TD-GC). The latter is widely used off- and on-line with Flame Ionization Detectors (FID) or Mass Spectrometers (MS). Given the large number of molecules detected per chromatogram, the data generated by these monitoring techniques are usually checked and reprocessed manually. This process is extremely time consuming and could result in human error. The challenge is to provide reliable results as quickly as possible.In this study, the performances of an on-line TD-GC system with dual detection FID and MS were tested. The Method Detection Limits (MDL), linearities and accuracies of 60 VOCs (alkanes, aromatics, oxygenated and halogenated) were calculated both for FID and MS detectors. The MDLs and accuracies ranged from 0.006 to 0.618 ppbv and from 77 % to 100 % for FID, and from 0.018 to 0.760 ppbv and from 80 % to 100 % for MS. Both detectors showed good complementarity and allowed the development of two programs to facilitate data analysis. These algorithms were designed to autonomously select optimal results between FID and MS detectors, and were evaluated for outdoor and indoor measurement conditions. Measuring VOCs in field campaigns is challenging, and it is anticipated that these programs could be extended to other types of dual-detector systems or for the comparison of data from different calibrated instruments.

Advantages of online supercritical fluid extraction and chromatography hyphenated to mass spectrometry to analyse plastic additives in laboratory gloves

Plastic additives are introduced in plastic material formulations, along with organic polymers, to offer different properties such as stability, plasticity or color. However, plastic additives may migrate from the plastic material to the content (in case of plastic containers) or to the material in contact with the plastic, like human skin. In the case of plastic medical devices, this migration is of particular interest, as plastic additives may be deleterious to health. In the present paper, we examined the interest of combining supercritical fluid extraction (SFE) to supercritical fluid chromatography (SFC) hyphenated to mass spectrometry (MS) in an online system to characterize plastic additives in laboratory gloves, taken as samples of medical devices. A set of target compounds comprising 18 plasticizers, 4 antioxidants and 2 lubricants was defined and their detectability with MS was examined, where it appeared that electrospray ionization (ESI) provided better detectability than atmospheric pressure chemical ionization (APCI). After examining possible stationary phases with the help of Derringer desirability function, an isocratic chromatographic method (CO2:methanol 95:5) was developed on Shim-pack UC Phenyl column. The extraction method was examined with a 3-level full factorial design of experiments to optimize the extraction temperature (40 °C) and pressure (200 bar). The online SFE-SFC-MS method was compared to offline methods where the samples were extracted with liquid solvents at atmospheric pressure or high pressure then analysed with SFC-MS. In all cases, offline methods showed significant contaminants (like the oleamide lubricant) issuing from laboratory plastic materials as nitrogen drying station, syringes and filters, while the online method allowed a complete elimination of laboratory contaminations. Furthermore, the online method saved time, solvents and laboratory consumables. It will also show that transferring a compressible fluid from a loading loop is favourable to high efficiency, as the resulting chromatographic peaks are much thinner than when transferring a liquid. Compared to injecting liquid heptane, the efficiency increase was 3.4-fold, while compared to injecting liquid methanol (a common practice in SFC), the efficiency increase was 13-fold. Finally, the additive composition of different laboratory gloves was compared.

Evaluasi realisasi pencapaian target pajak daerah untuk penerimaan pajak daerah tahun 2020-2023 pada Badan Pendapatan Daerah Kota Manado

Taxes are one of the most potential resources and the largest contributor in maximizing regional revenue. Therefore, the government continues to try and strive to increase Regional Original Revenue (PAD) sourced from the regional tax sector. The purpose of the study is to find out the realization of the achievement of the regional tax target for regional tax revenue in 2020 - 2023 at the Regional Revenue Agency of Manado City. The analysis method used in this study is qualitative descriptive analysis. In this study, data on the realization of the tax revenue budget for regional taxes in 2020-2023 collected by the Manado City Regional Revenue Agency was used. The results of this study show that the realization of regional tax revenues for 2020 – 2023 has not yet reached the target because there are still many regional tax potentials that have not been explored. This condition is also supported by non-technical problems such as technological developments, the ineffectiveness of online tax collection applications or systems and the existence of large-scale social restrictions during the COVID-19 pandemic and also the low awareness of taxpayers in carrying out tax obligations greatly affects regional tax revenues so that the Manado City Regional Revenue Agency continues to strive to optimize regional tax collection. The efforts made by the Manado City Regional Revenue Agency to overcome problems in regional tax collection are efforts to intensify and extensify regional taxes. The results of this study show that the realization of the achievement of regional tax revenue targets in Manado City has not been optimal due to the impact of the Covid-19 pandemic so that tax collection has not been maximized which results in the non-achievement of the set target. There is only one type of regional tax that reaches the target, namely restaurant taxes in 2022-2023.

Hybrid approach for deformable mirror online system identification using RLS algorithm and adaptive forgetting factor optimization

Hybrid approach for deformable mirror online system identification using RLS algorithm and adaptive forgetting factor optimization

Spectrum contrast enhancement of fiber fabry-perot sensor by coupling efficiency improvement

This paper investigates the impact of interface angles on the coupling efficiency of a fiber Fabry-Perot interferometer (FFPI) sensor using both simulation and experimental methods. The FFPI sensor, which consists of a single-mode fiber (SMF), hollow-core fiber (HCF), and diaphragm, has its coupling efficiency determined by the generalized scattering matrix of the cascaded fiber system. To obtain the interface angles of the FFPI sensor, a new on-line monitoring system is developed based on microscopic images of the FFPI cavity and an image processing algorithm using OpenCV. By combining the eigenmode expansion method (EME) model and the online interface angle measurement technique, the coupling efficiency and spectral contrast of the FFPI cavity are evaluated and improved. Additionally, the corresponding working point in the intensity demodulation based FFPI sensor can be quickly identified. Using this method, an FFPI sensor with a spectral contrast of over 35 dB is achieved, which is significantly higher than existing similar sensors, and its sensitivity also reaches 50.80 mV/MPa. This work also holds significance for controlling and enhancing the spectral characteristics of other cascaded fiber optic sensors.

Negotiating in the metaverse—it is more than just avatars

In 2020, many companies had to adapt to virtual negotiations. Some did so more effectively than others. Now that in-person negotiation is possible again, people can use virtual negotiation spaces to save money, increase efficiency, support your team members, and improve the process. However, many companies do not know how to use the virtual spaces effectively. This article, written by a person who used virtual opportunities to negotiate long before the pandemic, offers advice and recommendations so that you can use the metaverse while preparing for, and undertaking, negotiations. From establishing "safe rooms" for document storage and sidebar conversations to "bio breaks" and decorating a virtual negotiation room, whether you use a single-space online system or a multi-floor virtual building, this article provides elements to consider and reminders to follow. You also receive caution about some of the new artificial intelligence assistants that may require legal or other approvals to use.

Mampukah Sistem E-Laporan Meningkatkan Efektivitas Pengawasan Kegiatan Penyuluhan di Kabupaten Sleman?

The extension e-report system is an online system used by field agricultural extension workers in Sleman Regency to report their extension activities every month online through the www.penyuluhan.jogjaprov.go.id website. This study aims to examine the influence of system quality on system use, inspect the influence of system quality on user satisfaction, test the influence of information quality on system use and user satisfaction, the influence of system use on user satisfaction, the influence of user satisfaction on system use, the influence of system use on individual impact and the influence of satisfaction users to individual impacts using the DeLone & McLean IS Success Model. The quantitative research method is carried out in all Agricultural Food and Fisheries Extension Center (BP4) in Sleman Regency, Yogyakarta Province, with 90 respondents in field agricultural extension taken using the census technique—the research analysis using SEM PLS with SmartPLS 3.0 software. The results of the study show that (1) the quality of the system does not affect the use of the system. (2) The system’s quality does not affect user satisfaction. (3) The quality of information affects the use of the system. (4) The quality of information affects user satisfaction. (5a) The use of the system affects user satisfaction. (5b) User satisfaction affects the use of the system. (6) Using the system affects the impact of the Individual. (7) User satisfaction affects individual impact. The research results are expected to provide input for improving this e-report system to make the supervision process more effective.

Digital critical edition of Čiurlionis' piano music: a case study

Mikalojus Konstantinas Čiurlionis (1875–1911) is a key figure in Lithuanian music and art. As a professional composer and painter, he left behind over 220 paintings and 350 musical compositions. His art showcases early examples of abstract painting and serial music in Europe. However, his work and contributions to the music world are not widely known. The publication of his music was delayed for 50 years, and several different systems of cataloguing Čiurlionis' music were used, as well as different editing practices and multiple editorial versions. This complexity made the performance and further research of his music complicated for contemporary users. After a grant of the Lithuanian Research Council was received in 2022, the digital critical edition of Čiurlionis' piano music was started. It is based on the previous research done by members of a research team, when the Chronological Catalogue of Čiurlionis Music (2007) and several urtext editions were published (2010–2020). The currently developed prototype online system is a web-based application that enables users to work with all of Čiurlionis' piano music (manuscripts and previous editions), to use the digital edition for performances, and for further studies or research. The corpus of material is presented as an online digital critical edition with a catalogue, search tool and a specially developed tool for musicological and computational analysis of music scores.

Online identification of potential antioxidant components and evaluation of DNA oxidative damage protection ability in Prunus persica flowers

A high performance liquid chromatography-ultraviolet-visible detector-electrospray ionization-ion trap-time-of-flight-mass spectrometry-total antioxidant capacity determination (HPLC-UVD-ESI-IT-TOF-MS-TACD) new online technique was developed for efficient screening of potential antioxidant active components in Prunus persica flowers (PPF) from 4 origins. Through this online system, 46 compounds were initially identified, while 20 compounds with DPPH binding activity and 21 compounds with FRAP binding activity were detected. The antioxidant activities of 9 compounds obtained from the screening were then validated in DNA oxidative damage protection study. The results showed that this online system can cope well with the complexity of the samples. This also provides technical basis for rapid screening of antioxidant resources of PPF. In short, this study made the chemical composition of PPF more abundant and its potential antioxidant active compounds more explicit, which provided new ideas for the detection and development of natural antioxidants and provided scientific basis for PPF as functional food.

Deciphering Arabic question: a dedicated survey on Arabic question analysis methods, challenges, limitations and future pathways

This survey reviews different research on question analysis, including other comparative studies of question analysis approaches and an evaluation of the questions by different NLP techniques that are used in question interpretation and categorization. Among these key findings noted includes the assessment of deep learning models such as M-BiGRU-CNN and M-TF-IDF, which come with high precision and accuracy when applied with the effectiveness of use in dealing with the complexities involved in a language. Some of the most mature machine learning algorithms, for example, SVM or logistic regression, remain powerful models, especially on the classification task, meaning that the latter continues to be relevant. This study further underlines the applicability of rule-based or hybrid methodologies in certain linguistic situations, and it must be said that custom design solutions are required. We could recommend, on this basis, directing future work towards the integration of these hybrid systems and towards the definition of more general methodologies of evaluation that are in line with the constant evolution of NLP technologies. It revealed that the underlying challenges and barriers in the domain are very complex syntactic and dialectic variations, unavailability of software tools, very critical standardization in Arabic datasets, benchmark creation, handling of translated data, and the integration of Large Language Models (LLMs). The paper discusses the lack of identity and processing of such structures through online systems for comparison. This comprehensive review highlights not only the diversified potential for the capabilities of NLP techniques in refining question analysis but also the potential way of great promises for further enhancements and improvements in this progressive domain.

Digital Marketing as A Strategy to Increase Sales and Consumer Satisfaction

The objective of this paper is to conduct a conceptual review of the literature studies that focus on the link between application-based digital marketing methods and the development of consumer satisfaction and sales. The study's findings indicate that digital marketing is a marketing strategy that capitalizes on the advancement of information and digital technology. Implementing this strategy in a business must consider various internal and external factors to determine the suitability and most appropriate digital marketing strategy for maximum results according to the set objectives. Online systems are not constrained by time, and they have the ability to determine the timing, audience, location, and duration of their marketing campaigns. This presents a significant opportunity for business growth. Digital marketing provides a plethora of engaging, practical, and limitless content, and digital technology enables business owners to quantify the impact of their content on sales. Additionally, business owners have the ability to visit an unlimited number of online platforms, such as social media, web pages, and other accounts, which can attract loyal customers and increase profits. This paper reviews conceptually based on literature studies on the relationship between application-based digital marketing strategies in expanding sales and customer satisfaction. For further research, we can examine the efficiency of implementing digital marketing strategies and the factors that influence them so that they can be input and recommendations for business actors or companies in implementing digital-based and internet-connected marketing systems so that they can increase consumer satisfaction.

(Invited) Dissolution of Organic Overlayers Modified Platinum Single Crystal Interfaces in Acidic Medium

Electrocatalysts design has been an important researching discipline in the filed of electrochemical energy conversion and storage, among which, surface (organic) modification has becoming an efficient, selective, and flexible approach in electrocatalysis study and applications. In the focus of direct modulation on electrocatalysis interfaces, the functionalization of metallic catalysts with organic ligands (i. e. functional organic molecule, ionomers, ionic liquids) has demonstrated its capacity on improving catalytic activity and selectivity in electrochemical reactions such as ORR, CO2RR, as well as oxidation processes. However the electrocatalysts stability behavior and surface degradation dynamics of such modified systems are still not sufficiently studied.To fully decipher the potentials of surface/interface modification in electrocatalysis, we focus our studies on the dissolution behavior of functional organics (i. e. melamine, immidazolium ionic liquids) modified model Pt (hkl) single crystal facets, in acidic medium. In regard of the excellent system sensitivity of our inductively coupled plasma mass spectrometer (ICP-MS, detection limit down to 0.1-1 ng/L), we employed a customized scanning flow cell (SFC) coupled on-line monitoring system to probe the potential-resolved surface metal dissolution dynamics. With designed electrochemical system configuration, we acquired results demonstrating the delicate stability behavior changes over transient and accumulative dissolution study on (modified) Pt facets. In combination of other state-of-art operando spectroscopy methods (electrochemical infrared reflection absorption spectroscopy, electrochemical scanning tunneling microscopy, Raman spectroscopy, etc.), we further comprehended the surface oxidation process, surface blockage/modification mechanisms on electrocatalysis interface. Our research conferred a model stability study approach on surface modification of electrodes and electrocatalysts, providing important insights into the dynamic interfacial interaction between functional modifier and electrocatalysts.