Response Code Research Articles

Simulated medication administration for vulnerable populations using scanning technology: a quasi-experimental pilot study

BackgroundMedication errors may occur due to shortcuts and pressures on time and resources on nurses. Nursing students are enculturated into these environments where their perceptions of norms around reporting and responding to medication errors are formative, yet simulated medication administration experiences are rarely reflective of the real-world environment. such as the standard use of medication scanning technology. The purpose of the present study is to test a pilot intervention, Medication Quick Response (QR) code scanning, and evaluate its effect on medication errors during simulation when compared to traditional simulation medication administration practices and to assess the students’ perceptions of the intervention.MethodsWe conducted a quasi-experimental, observational study involving Junior and Senior (3rd and 4th year) undergraduate, pre-licensure nursing students from Spring 2022 until Fall 2023. Seven simulations were conducted in pediatric and obstetric courses. The intervention group used non-patented, low cost QR scanning during medication administration. The control group used standard manual administration. Medication errors were measured based on the quantity, type of error, and degree of patient risk. A Qualtrics survey was used to assess the students’ perceptions of the intervention following simulation participation.ResultsA total of 166 students participated in the study. In each course, 7 groups were assigned to the intervention and 8 were assigned to the control. More than half of the groups made at least one medication error (n = 17), one-third of groups (n = 10) made a high-risk medication error. There was no statistically meaningful difference in the rate, type, or potential patient risk of medication errors between the intervention and control groups. The majority of participants (n = 53) felt that QR scanning more closely mimicked medication administration in clinical settings. Half of the participants responded that it improved their safety practices (n = 37).ConclusionsThe results of this pilot study indicate that while there is a high risk for error among pre-licensure nursing students, the use of QR scanning did not increase the risk of medication errors. The next study iteration will build upon these pilot findings to integrate the use of embedded medication errors, time management tasks, and a multi-site implementation.

Perspective of Sharia Economic Law and Positive Law for Non-Cash Payment Qris Users in Indonesia According to The SDG

Objective: In the practice of digital payment method transactions using QR codes, it is necessary to be careful about counterfeiting QR codes by parties who violate the law or are irresponsible. Theoretical Framework: This research aims to explain and analyze legal protection for consumers in non-cash payment transactions based on QRIS (Quick Response Code Indonesian Standard) Positive Legal Perspective and Sharia Economic Law Perspective with a normative juridical approach. Method: In this research the author uses a statutory approach in carrying out normative research. This approach relies on various legal bases studied, which in this case relate to regulations regarding legal protection for consumers in QRIS (Quick Response Code Indonesian Standard) based non-cash payment transactions, Positive Law and Sharia Economic Law Perspectives. Results and Discussion: Research results Analysis of Legal Protection for Consumers in Non-Cash Payment Transactions Based on QRIS (Quick Response Code Indonesian Standard) Positive Legal Perspective relates to preventive legal protection, apart from the general regulations regarding consumer protection contained in the Consumer Protection Law no. 8 of 1999, for QRIS consumers there are significant regulations that govern. Bank Indonesia has issued Regulations for Members of the Board of Governors 21/18/PADG/2019 concerning Implementation of the National Standard Quick Response Code, Bank Indonesia Regulation Number 22/20/PBI/2020 concerning Bank Indonesia Consumer Protection, Bank Indonesia Regulation Number 18/40/PBI/ 2016 concerning Implementation of Payment Transaction Processing, Bank Indonesia Regulation Number 20/6/PBI/2018 concerning Electronic Money. Research Implications: Then, based on the Sharia Economic Law Perspective, it is reviewed from the sadd dzari'ah theory regarding the collection of personal data, which was originally permitted because it contained benefits, but in terms of the goals to be achieved, it could potentially end in loss and harm if there was no protection from the Government. Originality/Value: Efforts to protect personal data are very important because if it is not regulated by law, there is a possibility of personal data being leaked. Therefore, it is potentially dangerous when the protection of personal data is not regulated in law which is very detrimental to consumers due to the risk of unintentional breaches.

Immediate and evolving emotions among directly exposed survivors 7 years after the Oklahoma City bombing

The Oklahoma City bombing in 1995 was one of the most devastating incidents of terrorism in America at that time. Existing research has not examined changes in emotional responses outside of psychopathology to disaster over time. The sample for this study consisted of adult participants randomly selected from a state registry of survivors who were directly exposed to the 1995 bombing in Oklahoma City. The Disaster Supplement to the Diagnostic Interview Schedule was used to collect participants’ demographic information and qualitative details of their disaster experience, perceptions, and feelings. A total of 315 items resulted from the coding of responses pertaining to emotions (125 immediately after the disaster event, 140 in the following week, and 50 at approximately seven years postdisaster). The most common emotions in the immediate postdisaster period were shock, fear, and anxiety. In the following week, the most common were sorrow and anger. At seven years, sorrow was the most frequently expressed of all emotions. Understanding the progression of these feelings across time enhances the ability to anticipate responses at different postdisaster timeframes and to intervene in a timely manner.

Tandem Solid-Solution Phase Post-Synthetic Modification of Porous Molecular Crystals for In-Situ Generation of Fluorophores.

Conventional synthetic methods of organic luminescent molecules often involve labor-intensive solution-phase organic synthesis, which violate the principles of atom-economic transformation. Post-synthetic modification (PSM) offers a promising alternative, allowing direct transformation from one fluorophore to another. Although PSM is commonly implemented in extended frameworks, its application in porous molecular crystals remains challenging. Herein, we focus on utilizing porous molecular crystals, specifically tetraphenylethylene-cored frameworks, as versatile platforms for tandem PSM reactions to customize organic fluorophores. The tailored skeleton design ensures both the formation of porous structures and the occurrence of tandem solid-solution phase reactions while maintaining the solid state of reactants and products in each step. The inherent non-covalent bonding nature of the frameworks facilitates processing and characterization, offering unparalleled advantages for porous networks. The accompanying solid-state fluorescence transition from green to blue and then to green (or yellow) enables real-time monitoring of tandem reactions and provides intuitive mechanistic insights. This phenomenon is exploited for the facile construction of a dynamic information encryption system using fluorescent quick response codes.

Secure data communication in WSHN using EXP-MD5 and DHSK-ECC.

In the Healthcare (HC) sector, the usage of Wireless Sensor Healthcare Networks (WSHN) is attaining specific importance. The sensor device is implanted into the patient's body, and the sensed health information of patients is transformed via data aggregating devices like mobile devices, cameras, and so on, to the doctors. Thus, the early signs of diseases are identified, and remote monitoring of the patient's health is carried out by the physician on time. This aids in improving the health condition of the people and reduces the severity of disorders. But, the security gap in HC remains unresolved, despite various advantages. This work proposes secured data communication in WSHN using Exponential Message Digest5 (EXP-MD5) and Diffie Hellman Secret Key-based Elliptic Curve Cryptography (DHSK-ECC) techniques. Primarily, the patient registers their details in the Hospital Cloud Server (HCS). With hospital ID and patient ID, public and private keys are generated during registration. Afterward, by utilizing the Navie Shuffling (NS) technique, nCr combinations are created and shuffled. After shuffling, any of the randomly selected combinations are encoded utilizing the American Standard Code for Information Interchange (ASCII) code. For patient authentication, the ASCII code is further converted into a Quick Response(QR) code. Upon successful registration, the patient logs in to HCS. The patient can book for doctor's appointment if the login details are verified with those of the registered details. On consulting the doctor at the pre-informed time, the digital signature is created utilizing the Universal Unique Salt-based Digital Signature Algorithm (UUS-DSA) for authenticating the patient details. Further, for providing accessibility to all the authorized patients, the registered patients on HCS are considered as nodes. Then, an authorized path is created using the EXP-MD5 technique to protect each individual patient's details. The patient's IoT data is sensed, followed by authorized path creation. The data is encrypted via the DHSK-ECC algorithm for secure data transmission. Lastly, all the information is stored in HCS, so that the patient's health condition is regularly monitored by the doctor and the needy advice is suggested to the patients in the future. Also, hash matching is carried out when the doctor needs to access data. The proposed technique's efficacy is validated by the performance analysis in comparison with other conventional techniques. In this proposed research, the authentication is performed in multiple scenarios to enhance data security and user privacy. The patient details are authenticated during registration and verification to access the online consultation only by the authorized person. Further, the patient health information is encrypted in the proposed work after consultation so that the intrusion of medical records by malicious users and data tampering is prevented. Also, the sensed data gathered from patients are transferred to the HCS by creating the authorized path, which further enhances the security of patient data. Thus, the data communication of the WSHN is well-secured in this work through multi-level authentication and improved cryptography techniques.

Open-Source Optimization of Hybrid Monte Carlo Methods for Fast Response Modeling of NaI (Tl) and HPGe Gamma Detectors

Modeling the response of gamma detectors has long been a challenge within the nuclear community. Significant research has been conducted to digitally replicate instruments that can cost over USD 100,000 and are difficult to operate outside of a laboratory setting. The large cost and availability prevent some from making use of such equipment. Subsequently, there have been multiple attempts to create cost-effective codes that replicate the response of sodium-iodide and high-purity germanium detectors for data derivation related to gamma-ray interaction with matter. While robust programs do exist, they are often subject to export controls and/or they are not intuitive to use. Through the use of hybrid Monte Carlo methods, MATLAB can be used to produce a fast first-order response of various gamma-ray detectors. The combination of a graphical user interface with a numerical-based script allows for open-source and intuitive code. When benchmarked with experimental data from Co-60, Cs-137, and Na-22, the code can numerically calculate a response comparable to experimental and industry-standard response codes. Evidence supports both savings in computational requirements and the inclusion of an intuitive user experience that does not heavily compromise data when compared to other standard codes, such as MCNP and GADRAS, or experimental results. When the application is installed on a Dell Intel i7 computer with 16 cores, the average time to simulate the benchmarked isotopes is 0.26 s. Installation on an HP Intel i7 four-core machine runs the same isotopes in 1.63 s. The results indicate that simple gamma detectors can be modeled in an open-source format. The anticipation for the MATLAB application is to be a tool that can be easily accessible and provide datasets for use in an academic setting requiring gamma-ray detectors. Ultimately, this article provides evidence that hybrid Monte Carlo codes in an open-source format can benefit the nuclear community in both computational time and up-front cost for access.

Decoding dynamic visual scenes across the brain hierarchy.

Understanding the computational mechanisms that underlie the encoding and decoding of environmental stimuli is a crucial investigation in neuroscience. Central to this pursuit is the exploration of how the brain represents visual information across its hierarchical architecture. A prominent challenge resides in discerning the neural underpinnings of the processing of dynamic natural visual scenes. Although considerable research efforts have been made to characterize individual components of the visual pathway, a systematic understanding of the distinctive neural coding associated with visual stimuli, as they traverse this hierarchical landscape, remains elusive. In this study, we leverage the comprehensive Allen Visual Coding-Neuropixels dataset and utilize the capabilities of deep learning neural network models to study neural coding in response to dynamic natural visual scenes across an expansive array of brain regions. Our study reveals that our decoding model adeptly deciphers visual scenes from neural spiking patterns exhibited within each distinct brain area. A compelling observation arises from the comparative analysis of decoding performances, which manifests as a notable encoding proficiency within the visual cortex and subcortical nuclei, in contrast to a relatively reduced encoding activity within hippocampal neurons. Strikingly, our results unveil a robust correlation between our decoding metrics and well-established anatomical and functional hierarchy indexes. These findings corroborate existing knowledge in visual coding related to artificial visual stimuli and illuminate the functional role of these deeper brain regions using dynamic stimuli. Consequently, our results suggest a novel perspective on the utility of decoding neural network models as a metric for quantifying the encoding quality of dynamic natural visual scenes represented by neural responses, thereby advancing our comprehension of visual coding within the complex hierarchy of the brain.

Multiunit Frontal Eye Field Activity Codes the Visuomotor Transformation, But Not Gaze Prediction or Retrospective Target Memory, in a Delayed Saccade Task.

Single-unit (SU) activity-action potentials isolated from one neuron-has traditionally been employed to relate neuronal activity to behavior. However, recent investigations have shown that multiunit (MU) activity-ensemble neural activity recorded within the vicinity of one microelectrode-may also contain accurate estimations of task-related neural population dynamics. Here, using an established model-fitting approach, we compared the spatial codes of SU response fields with corresponding MU response fields recorded from the frontal eye fields (FEFs) in head-unrestrained monkeys (Macaca mulatta) during a memory-guided saccade task. Overall, both SU and MU populations showed a simple visuomotor transformation: the visual response coded target-in-eye coordinates, transitioning progressively during the delay toward a future gaze-in-eye code in the saccade motor response. However, the SU population showed additional secondary codes, including a predictive gaze code in the visual response and retention of a target code in the motor response. Further, when SUs were separated into regular/fast spiking neurons, these cell types showed different spatial code progressions during the late delay period, only converging toward gaze coding during the final saccade motor response. Finally, reconstructing MU populations (by summing SU data within the same sites) failed to replicate either the SU or MU pattern. These results confirm the theoretical and practical potential of MU activity recordings as a biomarker for fundamental sensorimotor transformations (e.g., target-to-gaze coding in the oculomotor system), while also highlighting the importance of SU activity for coding more subtle (e.g., predictive/memory) aspects of sensorimotor behavior.

A novel central bank digital currency framework design for offline and foreign transactions based on blockchain

Purpose Fiat money production necessitates physical commodities, increasing costs and its flow is challenging to monitor, making it vulnerable to criminal exploitation. Cryptocurrencies offer decentralized solutions, but their decentralization has led to illegal activities. Current cross-border transactions face high costs, resource intensity and lack of instant currency transfers. Offline transactions are essential in unreliable networks. Design/methodology/approach Here, the authors proposed the methodology to perform offline transactions based on card, quick response (QR) code and a foreign transaction framework with universal identification (UID) to perform cross-border transactions using blockchain-dependent central bank digital currencies (CBDCs). Implications for the financial system are also analyzed. Findings The proposed CBDC framework reduces illegal transactions, corruption and the cost of producing fiat money; eases overseas transactions; and eventually increases international tourism, trade and business between countries. It also reduces the processing fees. Offline framework found useful for performing retail-level transactions. Research limitations/implications The research methodology may face limitations due to diplomatic relations, political instability, sanctions and the need for robust offline transaction infrastructure. Practical implications The proposed CBDC framework simplifies debt and insurance management, tax collection, international trade, tourism and global stock market participation. However, implementing CBDCs in low-income countries presents challenges like extensive training, infrastructure and user acceptance issues. Social implications The adoption of CBDCs can enhance financial stability by reducing corruption and illegal transactions through improved traceability and monitoring, thereby curbing activities like terrorism. Originality/value Common framework for foreign transactions is based on the UID, and offline transaction framework is based on the sender’s QR code for multiple user applications.

Designing Innovative Quick Response Codes-Based Product Authenticity Safeguards: Risk Analysis

This paper examines the potential risks that may occur when designing and implementing innovative products’ authenticity safeguards based on quick response (QR) codes. The study identified ten key risks, which were then analyzed in two dimensions: the probability of their occurrence and the strength of their impact, should they occur. Using the matrix-based method, risks were visualized on an intensity scale in both dimensions and with adequate color notation. Subsequently, the identified risks were grouped thematically. This enabled the identification of four key areas containing the identified risks, namely: competition, external websites, technological integration and risks dependent on internal factors. After aggregating individual risk levels, for each key area the average risk level was calculated. The first three areas were characterized by an average low level of risk, while the area related to risks dependent on internal factors was characterized by an average medium level of risk. The study’s systematic approach to identify and evaluate risks related to the execution of QR code-based authenticity safeguards project can be applied by businesses to similar projects, as it enables scientific-based risk identification and management, and consideration of strategies to mitigate the potential issues, ensuring smoother project execution and more reliable product performance.

Rancang Bangun Aplikasi Sistem Pemesanan Konsumen Pizza Hut Delivery Tulungagung Berbasis Website dengan Teknologi Quick Response Code (QR)

Pizza Hut Delivery is a retail company operating in the fast-food sector. In the manual ordering system, customers must either visit the outlet for take-away or call the call center for home delivery. This study aims to provide a solution for the Pizza Hut Delivery outlet in Tulungagung, allowing customers to place orders online. Through this system, customers can order directly via their gadgets or smartphones for both take-away and delivery services. The research utilizes the waterfall model with PHP as the programming language and MySQL as the database server for data storage. The system is also equipped with Quick Response (QR) Code technology, enabling easy access to the Pizza Hut Delivery Tulungagung ordering website.

The Effect of Financial Literacy, Digital Literacy, and Information Security on QRIS Adoption among Students in Banten

This study investigates the impact of financial literacy, digital literacy, and information security on the adoption of Quick Response Code Indonesian Standard (QRIS) among students in Banten. Utilizing a quantitative research methodology, data were collected from a sample of 170 students using Likert scales ranging from 1 to 5. Structural Equation Modeling-Partial Least Squares (SEM-PLS 3) was employed for data analysis. The results indicate that all hypothesized relationships are positive and significant. Specifically, financial literacy (β = 0.323, t = 5.633, p = 0.002) significantly enhances QRIS adoption, suggesting that students with higher financial literacy are more likely to adopt QRIS. Digital literacy (β = 0.848, t = 30.753, p < 0.001) also shows a significant positive effect, indicating that students proficient in digital technologies are more inclined towards QRIS adoption. Additionally, information security (β = 0.695, t = 9.446, p < 0.001) significantly influences QRIS adoption, underscoring the importance of secure information practices in fostering the adoption of QRIS among students. The findings underscore the critical roles of financial and digital literacy, alongside robust information security, in promoting QRIS adoption within the student demographic in Banten. These insights provide valuable implications for educators, policymakers, and financial institutions aiming to enhance the adoption of digital payment systems.

Development of Literacy Engagement in Chinese Students with Varying Language Proficiencies

The objective of this study is to develop literacy engagement in Chinese students with varying language proficiencies through teacher-written corrective feedback. Drawing on Bandura’s social cognitive theory and Boekaerts and Corno’s self-regulation theory, the research aims to understand how corrective feedback influences literacy engagement and language proficiency. The study employs a qualitative analysis of student responses and reflective journals with quantitative measures of language proficiency and engagement metrics. The research site includes Chinese university classrooms with both low-proficiency (LP) and high-proficiency (HP) students. Key informants are LP and HP students who receive teacher-written corrective feedback. Data analysis involves thematic coding of student responses and statistical analysis of language proficiency scores and engagement levels. Results show that LP students initially display passive engagement but improve with targeted feedback, while HP students demonstrate active engagement and advanced literacy skills. The study suggests tailored pedagogical strategies for LP students and challenges for HP students to enhance literacy engagement and language proficiency.

A Study on the Simple Encryption of QR Codes Using Random Numbers

Recently, with the widespread adoption of quick response (QR) code payments, there have been incidents of unauthorized use of QR codes presented at the time of payment, due to theft or duplication. As a countermeasure, conventional QR code payment systems are designed to update the QR code periodically. However, there is a problem: it is possible to make a payment using an illegally obtained QR code until the update. Therefore, it is necessary to encrypt the QR code itself to prevent its duplication. The objective of this research is to prevent fraudulent use of QR payments by combining image encryption using random numbers and Rivest Cipher 4 (RC4). In this paper, we perform image encryption using random numbers generated from a uniform distribution for QR codes presented at the time of payment and encrypt the seed value, which is the decryption key, using RC4. As a result, the proposed encryption method prevents unauthorized use of the QR code used for payment by stealing the image, and the processing speed and encryption strength are sufficient. Histogram analysis, key sensitivity analysis, and correlation coefficients were used to measure encryption strength. Finally, the proposed method is expected to enable more secure use of QR payments compared to conventional systems.

Understanding caregiver preferences and technology access to plan improvement of pediatric emergency department discharge instructions.

Approximately 95% of children treated in emergency departments (EDs) in Alberta, Canada, are discharged home. Discharge teaching is an opportunity to provide caregivers with the information that they need to manage their child's condition at home and ensure appropriate follow-up. Our ED lacked a standard discharge instruction process. In preparation for local quality improvement, we sought to understand caregiver preferences regarding discharge instructions by assessing the preferred format, need for translated resources, and ability to effectively access electronic information using a Quick Response (QR) code. This project was completed at a tertiary pediatric ED in Calgary, Alberta in July and August 2021. Caregivers of pediatric patients were invited to complete a survey. Families requiring an interpreter were not eligible; however, this was recorded to estimate translation needs. Survey questions addressed preference of discharge instruction modality (verbal, printed, electronic), primary language spoken at home, ability to use English resources, and ability to use QR codes. Descriptive analyses were performed, and preferences were compared. Of 117 caregivers approached, 104 completed the survey (89%). Caregivers had a strong preference for receiving written discharge instructions, with 98% desiring either electronic or printed resources in addition to verbal instructions. There was a similar likelihood of using printed (75%) versus electronic (79%) resources (p = 0.5). Three percent of families were unable to complete the survey due to a language barrier. Of the 104 participants, 19% noted that their primary language at home was not English but that they would still use English discharge instructions. Eighty percent of participants were able to successfully use the QR code. Caregivers had a strong preference for receiving written discharge instructions, with electronic or paper formats preferred equally. Translated resources will be important for some families. QR codes may be an effective tool for distributing electronic resources to most but not all families.

Ethanol-responsive structural colors with multi-level information encryption based on the patterned three-layer inverse opal photonic crystal

Stimulus-responsive inverse opal photonic crystals (IOPCs) with tunable structural colors show significant promise in information security. To improve upon the traditional bilayer structure with limited color information and single decoding mode, this work developed an ethanol-responsive structure with multi-level information encryption ability by inserting a functional layer into two shielding layers (red Layer A with a photonic stop band (PSB) at 640 nm and green Layer C with a PSB at 530 nm). The functional layer was composed of colorless Layer B, a quick response (QR) code pattern made of TiO2 nanoparticles, and a dense polymer. Due to the isolation of distinct layers, different reflectance values, and different PSB positions of the three-layer IOPC, the structural color of Layer B could only be “turned on” by wetting the entire structure when its PSB redshifted from 360 nm to 460 nm. Specifically, when either side was individually wetted, the PSB of Layer A or C redshifted to 825 nm or 685 nm, and the color of the QR code was dominated by the unwetted red or green layer. After the entire structure had been soaked, the blue QR code was decoded. Meanwhile, when the detecting angle increased from 5° to 60°, the PSBs of Layers B and C in the wetted three-layer IOPC blueshifted from 460 nm to 365 nm and from 685 nm to 540 nm, respectively, which resulted in a cascade decoding process with a single- or mixed-color output. This structure provides a good foundation for multi-level information encryption.

The Security Threat and Precautionary Measures of QR Code of Internet of Things Technology

The Internet of Things (IoT) is the expansion and extension of the traditional network. It is a network that connects goods and objects, which has been widely used in today's social development process. It occupies an important position in various industries. The emergence of the Internet of Things has greatly improved the refinement level of human management. The QR code (Quick Response Code) is a part of the perception layer of the IoT, which belongs to the perception and recognition technology of the IoT. The QR code not only brings convenience to users but also becomes the carrier and disseminator of malware, phishing, and other attacks. Therefore, it is of great significance for the security of the IoT to understand the potential threats of the QR code, analyze its potential attack methods, and put forward defense plans. This paper briefly introduces the basic characteristics of the QR code, as well as some attack methods and potential threats against the QR code, and put forward some preventive measures from both technical and non-technical aspects. The technical aspect includes the combination of cryptography and the introduction of third-party management. The non-technical aspects are discussed at the national and individual user levels.

Multilevel Anti-counterfeiting Barcode with Enhanced Information Encryption Based on Stimulus-Responsive Digital Polymers.

In response to the escalating challenges of counterfeiting due to technological and socioeconomic advancements, a novel trilevel anti-counterfeiting Quick Response (QR) code system has been developed. This system integrates digital polymers with QR code and stimulus-responsive chromophores, i.e., rhodamine B (RB), rhodamine 6G (R6G), and spiropyran (SP), to provide a sophisticated security solution. This advanced barcode remains concealed until specific stimuli reveal it and can be scanned by a smartphone, enabling first and second level anti-counterfeiting. For the third level of security, the encrypted information within the digital polymers can only be deciphered using tandem mass spectrometry. This innovative approach not only enhances security features but also offers reversible visibility and a complex verification process. This trilevel system surpasses traditional single-level anti-counterfeiting methods and holds significant potential for future applications in protecting brand authenticity and managing data storage, contributing new concepts and techniques to the field of high-security anti-counterfeiting materials.

Beyond passwords: A multi‐factor authentication approach for robust digital security

AbstractMulti‐Factor Authentication (MFA) strengthens digital security by necessitating users to verify their identity. It uses various authentication methods like adding an extra layer of protection beyond conventional passwords. Proposed method introduces a novel MFA system that integrates multiple authentication layers, starting with two phase Graphical password with the traditional email‐password and progressing to facial recognition using Convolutional Neural Networks (CNN) and Quick response (QR) code authentication. To prove the robustness of our method, we are considering some test cases and few performance metrics like delay, accuracy, etc. The results are derived for False positive rates, complexity. The success rate is observed to be more than 93% for the proposed model.

CO2 Laser-labeling on Fresh Produce: Evaluating Postharvest Quality, Microbial Safety, and Economic Analysis

Fresh produce is traditionally labeled with plastic price lookup (PLU) stickers that are attached to the produce surface using edible glue. However, both the stickers and glue are environmental contaminants, and the stickers can still easily detach from the produce surface during handling and disrupt traceability. An alternative method of labeling, the CO2 laser-labeling technology (LLT), has been gaining attention in recent years. However, engraving Quick Response (QR) code using LLT is unique, and the performance of this technology varies from produce item to produce item, and information on its effects on postharvest quality, microbial safety, and economic feasibility has not been reported. The objectives of this study were to investigate the effect of laser-labeling technology on (1) postharvest quality, (2) microbial safety, and (3) economic analysis of this technology. Three horticultural crops, ‘Red Delicious’ apple (Malus pumila), green bell pepper (Capsicum annuum), and cucumber (Cucumis sativus) were procured from a local grocery store. Each produce was engraved with a Quick Response (QR) code or 6-digit alphanumerical (text) code using the commercially available Trotec Speedy 300 CO2 laser engraver, followed by the application of edible wax. Fresh weight loss for laser-printed produce was higher compared to controls, but no difference in visual quality ratings was observed. The laser-labeled produce was assessed for microbial contamination by artificially inoculating rifampicin-resistant Escherichia coli (E. coli) log10 6 CFU/mL to the labeled fruit. The results showed that the population of rifampicin-resistant E. coli was statistically higher in all three products labeled with text code compared to the nontreated controls. The QR-coded treatments were similar to the controls. The wax application did not affect the microbial attachment on the laser-labeled produce. The CO2 laser labeling technology has the potential for industrial application.