Marites Just Complained: Enhancing Transparency and Privacy with Barangay Online Complainant System Using Xchacha20 Encryption

Table 1. Compilation of Technologies.

Technology Strength Weakness Areas of Application

Cryptography - By using Xchacha20 - Proper key management is - Encryption Integration Algorithm
encryption, the Barangay crucial for cryptographic - Key Managing Practices
Online Complainant System systems. Inadequate - Cryptographic Protocols
can keep the complainant’s management of encryption
data confidential. Xchacha20 is keys in the Barangay Online
a well-known and secure Complainant System can lead
encryption algorithm that to vulnerabilities. Key
effectively prevents generation, storage, rotation,
unauthorized access or and distribution must be
exposure of sensitive carefully handled to ensure
information. secure encryption.

- Xchacha20 encryption offers - Although Xchacha20

strong protection for the encryption is secure, no
complainant’s personal cryptographic algorithm is
information, making sure that immune to potential
sensitive details like names, vulnerabilities. Future
contact information, or other discoveries of new attack
identifying data are kept safe techniques or weaknesses
and cannot be accessed or may require updates or
decrypted without the right changes to the algorithm or its
encryption key. implementation in the system.

- Cryptography not only keeps - Correct implementation is

data confidential but also helps crucial for cryptographic
ensure its integrity. With systems. Inadequate
Xchacha20 encryption, the implementation or
complainant’s data remains misconfigurations of
 intact while being stored or Xchacha20 encryption could
transmitted. Any attempts to lead to weaknesses. Best
modify or tamper with the data practices, proper testing, and
can be detected because of the secure coding practices must
mathematical properties of the be followed when integrating
encryption. cryptographic algorithms into
the system.
- Xchacha20 encryption can be
used to secure the - Legal or regulatory
communication channels in the requirements related to
Barangay Online Complainant encryption practices may
System. This ensures that the apply, depending on the data
complainant's interactions with being encrypted and the
the system, such as submitting system's jurisdiction.
complaints or communicating Compliance can introduce
with authorities, are safe from complexities and
being overheard or tampered considerations such as key
with. escrow, data retention, or
lawful access provisions.
- The system uses strong
encryption like Xchacha20 to
protect privacy and ensure
confidentiality, building trust
and a secure environment for
reporting issues.

Table 2. Problem Statement.

1. From among the technologies in Table 1, which do you intend to use? Justify why it is the best choice.

Cryptography is essential in the title “Marites Just Complained: Enhancing Transparency and Privacy with Barangay Online Complainant System Using
Xchacha20 Encryption.” Its primary goal is to improve transparency and privacy within the system. By using Xchacha20 encryption, the system ensures the
secure transmission and storage of sensitive data. This cryptographic method helps build trust among complainants by reducing the risks associated with
privacy breaches. By incorporating cryptography, the system aims to provide a secure and transparent environment for handling complaints, promoting a more
reliable complaint resolution process.
2. What motivates you in pursuing the study? (from “Technology” in Table 1)

The motivation for implementing cryptography, specifically Xchacha20 encryption, in the Barangay Online Complainant System is to address concerns about
the privacy and security of complainants’ information. In a digital world, where online systems are vulnerable to breaches, ensuring the confidentiality of
sensitive data is crucial. By incorporating cryptography, the system provides a secure platform for complainants to submit their complaints and trust that their
information will be protected. This motivation stems from the importance of privacy and the need to instill confidence in the system by using robust
cryptographic measures.
3. Give the Problem Statement of your research. Use the Justification (1 and 2 above) to formulate this.

“Marites Just Complained: Enhancing Transparency and Privacy with Barangay Online Complainant System Using Xchacha20 Encryption” focuses on
addressing concerns about the privacy and security of complainants’ information in an online environment. With the growing use of digital platforms for
complaint submissions, there is a concern for unauthorized access and privacy violations. The problem is to ensure the secure handling of complainants’
personal information within the system. By implementing Xchacha20 encryption, the system aims to protect the data, mitigating risks associated with
unauthorized disclosure. The goal is to provide a secure platform for complainants, enhancing transparency and privacy in the complaint resolution process.

Table 3. List of Chosen Technology.

Technology Author/Year Description Strength Weakness Application

(Cite)
Cybersecurity Razaque, A., Web-Based Improves cybersecurity Limited user knowledge and Private and
et. al. (2021) Blockchain-Enabled through addressing of adaptation. Government
Cybersecurity cybersecurity challenges and Institutions
Awareness System enhances user’s cybersecurity
awareness.

Cryptographic Algorithms Adnan, Big Data Security in Enhances data security Integration of new innovations Cloud storage
N.A.N., the Web-Based Cloud through utilization of in current and existing cloud
Ariffin, S. Storage System Using Symmetric Encryption storage can be complex as it
(2019) 3D-AES Block Cipher algorithms as the information can face problems in
Cryptography are encrypted in a cloud compatibility of storage
Algorithm storage without decrypting the systems and platforms in this
data. Which ensures the technology.
sensitive information to be
maintained confidential and
protected.
Table 4. Proposed Model/System to Chosen Technology

1. From the technology identified in Table 3 (whichever is applicable), what particular technology are you going to use?

Cryptography Algorithm, as the purpose of the study is to enhance the data security of information and data that’s in the cloud storage without the process of
decryption. With this, sensitive and confidential information inside the cloud storage are protected. By implementing this advanced cryptographic algorithm,
sensitive and confidential data within the cloud storage can be effectively safeguarded, ensuring enhanced protection and maintaining the privacy of the
information.

2. Will the propose study provide solution to the research problem as identified in Table 2? How?

The utilization of cryptography technology provides a solution to the problem statement listed in table 2 as the purpose of this proposed study is for the data and
sensitive information to be encrypted during the complaint process including its transmission. The capability of the Xchacha20 may effectively reduce security
risks stated in the problem statement as most of local units are prone to attacks as most of barangays’ complaints are still kept in logbooks or basic computer
files. With this, most residents just do not entrust their personal information being in these. With this proposed study, it provides features that can cater solutions
to the problem statement; intuitive interface, easy to access, and encryption.

3. Write down your research statement – that your propose solution (Table 2 above) will solve the identified problem.

The proposed study aims to strengthen the security of complaint management in a barangay setup, emphasizing the utilization of Xchacha20 that is capable of
encrypting data by using 256-bit encryption that is considered to be the strongest. Along with the following features that the system possesses will support to
effectively resolve the listed problems.

4. What Is the proposed application for your technology? What will be the final output (model, system, etc.)? Describe.

"Marites Just Complained" is a proposed application aimed at enhancing transparency and privacy in a Barangay (local community) setting through the
implementation of the Barangay Online Complainant System. The system enables residents to securely submit complaints online, utilizing XChaCha20
encryption for data protection. Complaints are encrypted upon submission, ensuring confidentiality, and are accessible only to authorized Barangay officials. The
system allows officials to track and manage complaints, assign case handlers, and communicate with complainants, promoting transparency and timely
resolution. By employing XChaCha20 encryption, the application ensures privacy while providing a secure and efficient platform for residents to voice their
concerns and facilitate effective complaint management.
 PL-MAP: PLM Interactive Map Mobile Application with Chatbot

Table 1. Compilation of Technologies

Technology Strength Weakness Areas of Application

Mapping and Geolocation - Mapping APIs provide - Mapping and Geolocation - Google Maps API
APIs interactive mapping APIs rely on external data - Mapbox API
functionality, allowing users to sources, and the accuracy and - Geolocation Hardware
explore maps and interact with completeness of the data can
elements such as markers and vary. Inaccurate or outdated
overlays. This enhances the information can impact the
user experience in the PL-MAP reliability and usability of the
mobile application by providing PL-MAP mobile application.
a visually appealing and
interactive interface. - Integrating Mapping and
Geolocation APIs into the
- Geolocation APIs allow the PL-MAP mobile application
PL-MAP mobile application to may require technical
access the device’s location expertise and a learning curve.
information, providing accurate APIs have specific integration
positioning of the user on the requirements, documentation,
map. This enables features like and learning resources, which
real-time tracking, proximity developers must familiarize
alerts, and personalized themselves with, potentially
recommendations based on the increasing complexity and
user’s location. development time.

- Mapping and geolocation APIs - Mapping and Geolocation

provide access to a vast APIs rely on network
database of places and points connectivity to fetch and
of interest, including detailed display data. Poor network
 information about businesses, conditions or limited internet
landmarks, and attractions. access may result in slow
This data enables users of the loading times or intermittent
PL-MAP mobile application to service, affecting the user
discover nearby amenities, find experience and usability of the
specific places, and enhance PL-MAP mobile application.
their navigation experience.
- Compliance considerations
- Mapping and geolocation APIs and privacy concerns may
include routing and directions arise when sharing data with
functionality, allowing users to Mapping and Geolocation
plan routes, obtain directions, APIs. Ensuring compliance
and optimize navigation. In the with regulations and managing
PL-MAP application, this the privacy of user location
feature helps users find data is crucial to maintain trust
efficient routes to their and protect user information in
destinations or report incidents the PL-MAP mobile
on their route. application.

Table 2. Problem Statement.

4. From among the technologies in Table 1, which do you intend to use? Justify why it is the best choice.
Mapping and Geolocation APIs is the most feasible option to be used as a main focus of this research. The developers are aiming to use google map api to
produce results as it is where the researchers are most familiar to explore the topic with. The topic is focused on developing an integrated application which
can be accessible to all. In relation to this purpose, researchers are planning to establish both iOS and Android versions for a more flexible range of options.
Mapping and Geolocation APIs best play the role in its development as it centers on providing more comprehensive interactions between the application and
the users through functional features included in the packages of the main chosen platform in its integration.

5. What motivates you in pursuing the study? (from “Technology” in Table 1)

Interactive maps are the best ways to enhance educational experience. First because it provides an interactive set-up of safety and security practices which
both the students and admin staff can utilize in terms of emergency and unexpected situations. It can also be a primary source of accessible information where
students can go for awareness of their school's environment. As interactive maps allow the clients the opportunity to engage in a more scalable set-up,
community engagement within school premises can also appear better with the point of interest and responsible feedback from user evaluations. Overall, it's
the best remedy that the researchers could foresee regarding the solution usually being asked from the users and the school's environment related dilemmas.
6. Give the Problem Statement of your research. Use the Justification (1 and 2 above) to formulate this.

This research is aimed at helping the PLM community especially students be familiar with places that best pique their interests. As the interactive map is aimed
to help the community be able to visualize and engage with real time information updates, this research is therefore expected to help the community address
the problems they usually face regarding unfamiliarity and inconvenience. Population is an issue to the school; knowing that an interactive map could help them
locate the best part of the school where they can stay and find their purpose for going would most likely help the majority upon their dilemmas.

Table 3. List of Chosen Technology

Technology Author/Year Description Strength Weakness Application

(Cite)
Map Display and Ayaz, A., et . Interactive Only rely on a specific platform Institutions
Interaction al, (2020) geoinformation Integration of geoinformatics like ArcGIS and SketchUp
three-dimensional tools enables the application which may have problems in
model of a landscape to have accurate modeling. compatibility and costs.
park with the use of
geoinformatics tools.
Artificial Intelligence A mobile application to - Offers personalized - The effectiveness relies on Medical Instituitons
predict and manage recommendations using AI accurate data from patients, it
high blood pressure expertise to predict and may become a limitation in
and personalized manage high blood pressure data quality which can impact
recommendations and promotes healthier the results of the prediction
lifestyle choices. and recommendation.

-Enables real-time monitoring - Limited only in predicting high

that enables patients to track blood pressure and not other
their blood pressure. health conditions.

Table 4. Proposed Model/System to Chosen Technology

5. From the technology identified in Table 3 (whichever is applicable), what particular technology are you going to use?
The PL-MAP mobile application, known as PLM Interactive Map, combines map display and interaction features with a chatbot to provide a comprehensive and
user-friendly experience. The application serves as a mobile guide for the PLM (Place-Learning-Mapping) community, allowing users to explore and interact with
various locations within the PLM ecosystem. The map display feature showcases key points of interest, buildings, and facilities, providing users with a visual
representation of the PLM campus or surrounding areas. The interactive map enables users to search for specific locations, obtain directions, and access
additional information about each point of interest. The integration of a chatbot further enhances the user experience, allowing users to ask questions, seek
guidance, and receive real-time assistance related to navigating the PLM environment. With the PLM Interactive Map, users can effortlessly explore the PLM
community, access relevant information, and engage in interactive conversations to enhance their overall experience.

6. Will the proposed study provide a solution to the research problem as identified in Table 2? How?

The solution for the PLM Interactive Map mobile application with a chatbot involves integrating a map display feature that showcases key points of interest and
facilities within the PLM ecosystem, enabling users to search for locations and obtain directions. The application incorporates a chatbot equipped with natural
language processing capabilities to provide real-time assistance and information about PLM. By collecting comprehensive location data, developing a knowledge
base, and ensuring a user-friendly interface, the solution facilitates seamless exploration, enhances user experience, and addresses the specific needs of the
PLM community.

7. Write down your research statement – that your proposed solution (Table 2 above) will solve the identified problem.

The research aims to develop an innovative solution for the PLM Interactive Map mobile application by integrating a map display feature, interactive
functionalities, and a chatbot equipped with natural language processing capabilities. The research focuses on gathering comprehensive location data,
developing a knowledge base, and ensuring a user-friendly interface to enhance user experience within the PLM ecosystem. The study aims to investigate the
effectiveness of the solution in facilitating seamless exploration, providing real-time assistance, and addressing the specific needs of the PLM community.
Through rigorous testing, feedback collection, and iterative improvements, the research seeks to contribute to the advancement of interactive map applications
and their integration with chatbot technologies for improved user engagement and navigation experiences in educational institutions.

8. What Is the proposed application for your technology? What will be the final output (model, system, etc.)? Describe.

The final output of the research project will be a fully functional and user-friendly PLM Interactive Map mobile application with integrated map display, interactive
functionalities, and a chatbot. The application will provide users with a visually appealing map interface that showcases key points of interest, buildings, and
facilities within the PLM ecosystem. Users will be able to search for specific locations, obtain directions, and access detailed information about each point of
interest. The chatbot, equipped with natural language processing capabilities, will offer real-time assistance, answer user queries, and provide relevant
information about PLM and its various locations. The application will be thoroughly tested, refined, and optimized to ensure a seamless and intuitive user
experience. The final output will empower PLM community members to effortlessly navigate the campus, explore different facilities, and engage in interactive
conversations to enhance their overall experience within the PLM ecosystem.
 I Miss You, PAWPA! : Enhancing Lost Pet Recovery through Forecasting Techniques and Machine Learning Algorithm of Places of
Recorded Missing Pets

Table 1. Compilation of Technologies

Technology Strength Weakness Areas of Application

Machine Learning - Machine learning algorithms - The performance and - Forecasting Techniques
Algorithms can analyze large amounts of dependability of machine - Data Mining and Pattern
recorded missing pet data to learning algorithms are heavily Recognition
accurately predict likely places dependent on the accuracy - Data Integration and Visualization
where lost pets may be found. and comprehensiveness of the
These algorithms can identify data on missing pets. If the
patterns, correlations, and data is incorrect, incomplete,
trends in the data that may not or biased, it can affect the
be apparent through traditional algorithm’s performance and
analysis methods. reliability, possibly resulting in
incorrect predictions.
- Machine learning algorithms
can effectively handle large - Machine learning algorithms
datasets and increasing may encounter difficulties with
volumes of recorded missing overfitting or underfitting the
pet data. As the system data. Overfitting happens
gathers more data, the when the algorithm is too
algorithm can adapt and learn complex and learns the
from new instances, improving training data by heart,
the accuracy and performance resulting in poor generalization
of predictions. and incorrect predictions on
new data. Underfitting
- Machine learning algorithms happens when the algorithm is
automate the process of too basic and fails to
identifying relevant features recognize the fundamental
 and patterns in recorded trends in the data, leading to
missing pet data. Once trained, subpar performance.
the algorithm can automatically
analyze new data and make - The success of machine
predictions without manual learning algorithms is largely
intervention, enabling efficient determined by the availability
and real-time analysis of of adequate and current data.
missing pet recovery. If the data on missing pets is
limited in scope or not updated
- Machine learning algorithms frequently, it may limit the
are capable of understanding algorithm’s ability to accurately
the complicated and non-linear predict the locations of missing
connections between different pets.
elements that affect the
chances of locating missing - Certain machine learning
pets. These algorithms can algorithms, particularly more
discover concealed trends and complex models such as deep
relationships in the data, learning, may lack
allowing for more precise interpretability and
forecasts based on numerous explainability. It can be difficult
variables. to comprehend how and why
the algorithm made a specific
- Machine learning algorithms prediction, reducing
have the ability to learn and transparency and making it
enhance their performance challenging to establish trust in
over time. With the availability the algorithm’s results.
of more data and feedback on
its predictions, the algorithm - Machine learning algorithms
can update its model and are susceptible to biases in
improve its predictions, the training data. If the data on
resulting in a more precise and missing pets contains biases
dependable system for related to factors such as
recovering lost pets. demographics or geographic
locations, the algorithm may
unintentionally reinforce or
magnify those biases,
 resulting in unfair or
discriminatory predictions.

- Some machine learning

algorithms, particularly those
that involve complex models
or large datasets, can be
computationally demanding
and require considerable
computational resources. The
implementation and
deployment of such algorithms
may necessitate significant
processing power, memory,
and storage capacity.

Table 2. Problem Statement

7. From among the technologies in Table 1, which do you intend to use? Justify why it is the best choice.

The capstone project, "I Miss You, PAWPA!," leverages pattern recognition, data mining, and predictive analysis to enhance lost pet recovery through advanced
forecasting techniques and machine learning algorithms. By utilizing pattern recognition, the project aims to identify recurring patterns and dependencies within
historical data of recorded missing pet locations. Data mining techniques are employed to extract valuable insights and hidden patterns from the dataset,
enabling the discovery of factors that may contribute to pet losses. These patterns and insights are then utilized in predictive analysis to forecast future places
where missing pets are likely to be found. By integrating these technologies, the "I Miss You, PAWPA!" system aims to improve the efficiency and accuracy of
lost pet recovery efforts, assisting pet owners in reuniting with their beloved companions and providing peace of mind during challenging times.

8. What motivates you in pursuing the study? (from “Technology” in Table 1)

The motivation behind conducting the study on enhancing lost pet recovery through forecasting techniques and machine learning algorithms in the "I Miss You,
PAWPA!" application stems from the desire to address a pressing issue and alleviate the emotional distress experienced by pet owners when their beloved pets
go missing. By harnessing the power of data analysis, time series forecasting, and machine learning, the study aims to improve the effectiveness of search
efforts, increase the chances of successful pet reunions, and contribute to the overall well-being of both pets and their owners. The study seeks to provide a
valuable solution that utilizes advanced technologies to enhance transparency, efficiency, and accuracy in lost pet recovery, ultimately making a positive impact
on countless families and their furry companions.
9. Give the Problem Statement of your research. Use the Justification (1 and 2 above) to formulate this.

The problem addressed by this study is the challenging and emotionally distressing experience faced by pet owners when their pets go missing. Current
methods of lost pet recovery often lack efficiency and accuracy, resulting in prolonged search efforts and reduced chances of successful reunions. This problem
calls for a comprehensive solution that harnesses the power of data analysis, time series forecasting, and machine learning algorithms to enhance the
effectiveness of search efforts, increase the probability of finding missing pets, and alleviate the emotional burden on pet owners. By developing the "I Miss
You, PAWPA!" application, this research aims to address these challenges and provide a valuable tool that improves transparency, efficiency, and accuracy in
lost pet recovery, ultimately bringing comfort and relief to pet owners and their beloved companions.

Table 3. List of Chosen Technology

Technology Author/Year Description Strength Weakness Application

(Cite)
Machine Learning Valletta, J., Using machine - Can handle and process The performance of machine Pattern recognition
Algorithms et. al.(2017) learning in studying vast amount of data ML learning models heavily
animal behaviours. models can extract relevant depends on the quality and
features, adapt over time, and quantity of the training data. If
generalize well to unseen the data is biased, incomplete,
data. or of poor quality, it can lead to
biased or inaccurate
- It can automatically learn predictions. Obtaining
and recognize intricate high-quality and diverse
patterns within animal datasets can be challenging in
behavior, such as identifying animal behavior studies.
specific vocalizations,
movement patterns, or social - Some machine learning
interactions algorithms, such as deep
learning neural networks, can
be highly complex and difficult
to interpret. This lack of
interpretability may hinder
researchers' ability to
 understand and explain the
underlying reasons for specific
predictions made by the
model.
Time Series Analysis with Rostampour, - This study utilizes historical This study relies in historic - Prediction
Exponential Smoothing F., et. al data, which enables the time series data which may - Pattern recognition
(2023) Analyzing animal bite researchers to have a cause limitations in terms of
cases in the northwest comprehensive understanding completeness, accuracy, and
Iran province using on the trends and patterns of potential biases.
time series data incidents.
- Assumptions of the ARIMA
-The application of the ARIMA model, including stationarity
model provides a robust and linearity, may impact the
statistical technique for accuracy of forecasts and
modeling and forecasting interpretation of results.
animal bite incidences
accurately.

Table 4. Proposed Model/System to Chosen Technology

9. From the technology identified in Table 3 (whichever is applicable), what particular technology are you going to use?

In the "I Miss You, PAWPA!" application, time series analysis will be utilized to enhance lost pet recovery through forecasting techniques and machine learning
algorithms. By analyzing the historical data of recorded missing pet locations, time series analysis uncovers patterns, trends, and dependencies over time. This
analysis enables the application to predict future places where missing pets are likely to be found. Leveraging methods such as ARIMA and exponential
smoothing, the application prioritizes search efforts, allocates resources effectively, and guides users to areas with a higher probability of locating missing pets.
Time series analysis also contributes to the refinement of machine learning algorithms, improving the accuracy and reliability of predictions. Overall, time series
analysis plays a vital role in facilitating successful pet recovery by generating forecasts and assisting in search efforts within the "I Miss You, PAWPA!"
application.

10. Will the proposed study provide a solution to the research problem as identified in Table 2? How?

The solution proposed for the research problem of enhancing lost pet recovery in the "I Miss You, PAWPA!" project involves the integration of pattern recognition,
data mining, and predictive analysis techniques. By collecting and analyzing historical data on recorded missing pet locations, patterns and correlations are
identified, enabling the development of a predictive model. This model utilizes machine learning algorithms and time series analysis, such as exponential
smoothing, to forecast future places where missing pets are likely to be found. The solution includes a user-friendly mobile or web application that allows pet
owners, shelters, and volunteers to report lost pets, access search information based on the forecasts, and coordinate search efforts. Continuous evaluation and
improvement ensure the effectiveness of the solution in enhancing lost pet recovery efforts, ultimately increasing the chances of successful reunions between
lost pets and their owners.

11. Write down your research statement – that your proposed solution (Table 2 above) will solve the identified problem.

This research aims to develop an innovative solution for enhancing lost pet recovery in the "I Miss You, PAWPA!" project through the integration of pattern
recognition, data mining, and predictive analysis techniques. By analyzing historical data on recorded missing pet locations, the research seeks to identify
patterns, correlations, and dependencies that can be utilized in a predictive model. Leveraging machine learning algorithms and time series analysis, such as
exponential smoothing, the research aims to generate accurate forecasts of future places where missing pets are likely to be found. The study also focuses on
developing a user-friendly mobile or web application that enables pet owners, shelters, and volunteers to report lost pets, access search information based on
the forecasts, and coordinate search efforts effectively. Continuous evaluation and refinement of the solution will ensure its effectiveness in enhancing lost pet
recovery efforts, ultimately increasing the chances of successful reunions between lost pets and their owners.

12. What Is the proposed application for your technology? What will be the final output (model, system, etc.)? Describe.

The proposed final output for the research project on enhancing lost pet recovery in the "I Miss You, PAWPA!" project includes the development of a robust
predictive model for forecasting future places where missing pets are likely to be found. This model will be integrated into a user-friendly mobile or web
application, "I Miss You, PAWPA!," allowing pet owners, shelters, and volunteers to report lost pets, access search information based on the forecasts, and
coordinate search efforts. A centralized database and management system will be established to store and manage historical data, while an evaluation
framework will be implemented to assess performance and gather feedback for continuous improvement. Documentation and dissemination of research findings
will contribute to the knowledge and practice of enhancing lost pet recovery efforts, ultimately increasing the chances of successful reunions between lost pets
and their owners.
REFERENCES

TOPIC 1
https://ieeexplore.ieee.org/abstract/document/10071652/authors#authors
https://www.mdpi.com/2076-3417/11/17/7880
https://link.springer.com/chapter/10.1007/978-981-13-3441-2_24

TOPIC 2
https://ieeexplore.ieee.org/abstract/document/10161388
https://openarchive.nure.ua/items/f89b2a94-4f74-479c-b0c3-2cc5a019c8d1
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