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Verification Of Nand Flash Controller, M. J. Prajwala, Kush Desai, Lili He Jan 2022

Verification Of Nand Flash Controller, M. J. Prajwala, Kush Desai, Lili He

Faculty Research, Scholarly, and Creative Activity

NAND structure-based Flash memory-made SSDs are turning more popular than HDDs in several applications notably in consumer microelectronics devices and enterprise memory storage devices. The NAND controller is the heart of this system. It acts as a bridge for communication between the host system (usually the Personal Computer system) and the NAND Flash memory storage device. Unarguably, it can be said that it is an essential part of the NAND flash-based memory device and it helps to manage the directory containing file systems. The controller is also accountable for managing system features like wear levelling, error code correction (through ECC), …

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“Don't Downvote A$$$$$$S!!”: An Exploration Of Reddit's Advice Communities, Emily Cannon, Bianca Crouse, Souvick Ghosh, Nicholas Rihn, Kristen Chua Jan 2022

“Don't Downvote A$$$$$$S!!”: An Exploration Of Reddit's Advice Communities, Emily Cannon, Bianca Crouse, Souvick Ghosh, Nicholas Rihn, Kristen Chua

Faculty Research, Scholarly, and Creative Activity

Advice forums are a crowdsourced way to reinforce cultural norms and moral behavior. Sites like Reddit contain massive amounts of natural language human interaction, with rules and norms unique to each individual subreddit community. To explore this data, we created a dataset with top 1000 posts from each of two such forums, r/AmItheAsshole and r/relationships, and extracted natural language features including sentiment, similarity, word frequency, and demographics using both algorithmic and manual methods. Further, we developed a method to extract demographic information from the subreddits, examined how the post authors' self-disclosures reflect the unique communities in which their posts are …

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The League Of Nations, Traffic In Women And The Transnationalization Of Criminal Law, Paul Knepper Jan 2022

The League Of Nations, Traffic In Women And The Transnationalization Of Criminal Law, Paul Knepper

Faculty Research, Scholarly, and Creative Activity

During the 1920s, the Advisory Committee on the Traffic in Women, of the League of Nations operated as a legal regime in the transnationalization of criminal law. This can be seen in its management of the first >worldwide< investigation into the traffic in women which sent undercover investigators to more than a 100 countries across Europe, the Americas, and the Mediterranean. The Advisory Committee initiated >trafficking< as a transnational crime and advanced the understanding of transnational criminal law beyond concepts of professional criminality.

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Race Car Aerodynamics Simulation And Transmitted Tire Reaction Forces, Mark T.J. Lin, Periklis Papadopoulos Jan 2022

Race Car Aerodynamics Simulation And Transmitted Tire Reaction Forces, Mark T.J. Lin, Periklis Papadopoulos

Faculty Research, Scholarly, and Creative Activity

Often in Computational Fluid Dynamics integral forces and restoring moments are calculated, but the location where they should be applied may not always be clear. This is because the location is not intuitive: it is dependent on the vehicle’s velocity and its orientation (e.g. sideslip angle). A technique has been developed to translate the aerodynamic forces to the reaction forces on the vehicle’s tires. In this study, CFD simulation is performed with a 7.5° yaw to look at the effect of cornering. To understand aerodynamic effect on vehicle dynamics one must know the location at which this force is applied. …

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Control-Core: A Framework For Simulation And Design Of Closed-Loop Peripheral Neuromodulation Control Systems, Pradeeban Kathiravelu, Mark Arnold, Jake Fleischer, Yuyu Yao, Shubham Awasthi, Aviral Kumar Goel, Andrew Branen, Parisa Sarikhani, Gautam Kumar, Mayuresh V. Kothare, Babak Mahmoudi Jan 2022

Control-Core: A Framework For Simulation And Design Of Closed-Loop Peripheral Neuromodulation Control Systems, Pradeeban Kathiravelu, Mark Arnold, Jake Fleischer, Yuyu Yao, Shubham Awasthi, Aviral Kumar Goel, Andrew Branen, Parisa Sarikhani, Gautam Kumar, Mayuresh V. Kothare, Babak Mahmoudi

Faculty Research, Scholarly, and Creative Activity

Closed-loop Vagus Nerve Stimulation (VNS) based on physiological feedback signals is a promising approach to regulate organ functions and develop therapeutic devices. Designing closed-loop neurostimulation systems requires simulation environments and computing infrastructures that support i) modeling the physiological responses of organs under neuromodulation, also known as physiological models, and ii) the interaction between the physiological models and the neuromodulation control algorithms. However, existing simulation platforms do not support closed-loop VNS control systems modeling without extensive rewriting of computer code and manual deployment and configuration of programs. The CONTROL-CORE project aims to develop a flexible software platform for designing and implementing …

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Presence 5 For Racial Justice Workshop: Fostering Dialogue Across Medical Education To Disrupt Anti-Black Racism In Clinical Encounters, Megha Shankar, Kelsey Henderson, Raquel Garcia, Gabrielle Li, Ke Andrea Titer, Rhonda Graves Acholonu, Utibe R. Essien, Cati Brown-Johnson, Joy Cox, Jonathan G. Shaw, Marie Christine Haverfield, Kenji Taylor, Sonoo Thadaney Israni, Donna Zulman Jan 2022

Presence 5 For Racial Justice Workshop: Fostering Dialogue Across Medical Education To Disrupt Anti-Black Racism In Clinical Encounters, Megha Shankar, Kelsey Henderson, Raquel Garcia, Gabrielle Li, Ke Andrea Titer, Rhonda Graves Acholonu, Utibe R. Essien, Cati Brown-Johnson, Joy Cox, Jonathan G. Shaw, Marie Christine Haverfield, Kenji Taylor, Sonoo Thadaney Israni, Donna Zulman

Faculty Research, Scholarly, and Creative Activity

Introduction: Anti-Black racism has strong roots in American health care and medical education. While curricula on social determinants of health are increasingly common in medical training, curricula directly addressing anti-Black racism are limited. Existing frameworks like the Presence 5 framework for humanism in medicine can be adapted to develop a novel workshop that promotes anti-racism communication. Methods: We performed a literature review of anti-racism collections and categorized anti-racism communication practices using the Presence 5 framework to develop the Presence 5 for Racial Justice Workshop. Implementation included an introductory didactic, a small-group discussion, and a large-group debrief. Participants evaluated the workshop …

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Flexible And Robust Real-Time Intrusion Detection Systems To Network Dynamics, Kicho Yu, Khanh Nguyen, Younghee Park Jan 2022

Flexible And Robust Real-Time Intrusion Detection Systems To Network Dynamics, Kicho Yu, Khanh Nguyen, Younghee Park

Faculty Research, Scholarly, and Creative Activity

Deep learning-based intrusion detection systems have advanced due to their technological innovations such as high accuracy, automation, and scalability to develop an effective network intrusion detection system (NIDS). However, most of the previous research has focused on model generation through intensive analysis of feature engineering instead of considering real environments. They have limitations to applying the previous methods for a real network environment to detect real-time network attacks. In this paper, we propose a new flexible and robust NIDS based on Recurrent Neural Network (RNN) with a multi-classifier to generate a detection model in real time. The proposed system adaptively …

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Spartan Face Mask Detection And Facial Recognition System, Ziwei Song, Kristie Nguyen, Tien Nguyen, Catherine Cho, Jerry Gao Jan 2022

Spartan Face Mask Detection And Facial Recognition System, Ziwei Song, Kristie Nguyen, Tien Nguyen, Catherine Cho, Jerry Gao

Faculty Research, Scholarly, and Creative Activity

According to the World Health Organization (WHO), wearing a face mask is one of the most effective protections from airborne infectious diseases such as COVID-19. Since the spread of COVID-19, infected countries have been enforcing strict mask regulation for indoor businesses and public spaces. While wearing a mask is a requirement, the position and type of the mask should also be considered in order to increase the effectiveness of face masks, especially at specific public locations. However, this makes it difficult for conventional facial recognition technology to identify individuals for security checks. To solve this problem, the Spartan Face Detection …

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Markov Decision Process For Modeling Social Engineering Attacks And Finding Optimal Attack Strategies, Faranak Abri, Jianjun Zheng, Akbar Siami Namin, Keith S. Jones Jan 2022

Markov Decision Process For Modeling Social Engineering Attacks And Finding Optimal Attack Strategies, Faranak Abri, Jianjun Zheng, Akbar Siami Namin, Keith S. Jones

Faculty Research, Scholarly, and Creative Activity

It is important to comprehend the attacker's behavior and capacity in order to build a stronger fortress and thus be able to protect valuable assets more effectively. Prior to launching technical and physical attacks, an attacker may enter the reconnaissance stage and gather sensitive information. To collect such valuable data, one of the most effective approaches is through conducting social engineering attacks, borrowing techniques from deception theory. As a result, it is of utmost importance to understand when an attacker behaves truthfully and when the attacker opts to be deceitful. This paper models attacker's states using the Markov Decision Process …

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Predicting Cervical Cancer Biopsy Results Using Demographic And Epidemiological Parameters: A Custom Stacked Ensemble Machine Learning Approach, Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga, S. Swathi, Saptarshi Sengupta Jan 2022

Predicting Cervical Cancer Biopsy Results Using Demographic And Epidemiological Parameters: A Custom Stacked Ensemble Machine Learning Approach, Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga, S. Swathi, Saptarshi Sengupta

Faculty Research, Scholarly, and Creative Activity

The human papillomavirus (HPV) is responsible for most cervical cancer cases worldwide. This gynecological carcinoma causes many deaths, even though it can be treated by removing malignant tissues at a preliminary stage. In many developing countries, patients do not undertake medical examinations due to the lack of awareness, hospital resources and high testing costs. Hence, it is vital to design a computer aided diagnostic method which can screen cervical cancer patients. In this research, we predict the probability risk of contracting this deadly disease using a custom stacked ensemble machine learning approach. The technique combines the results of several machine …

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Malview: Interactive Visual Analytics For Comprehending Malware Behavior, Huyen N. Nguyen, Faranak Abri, Vung Pham, Moitrayee Chatterjee, Akbar Siami Namin, Tommy Dang Jan 2022

Malview: Interactive Visual Analytics For Comprehending Malware Behavior, Huyen N. Nguyen, Faranak Abri, Vung Pham, Moitrayee Chatterjee, Akbar Siami Namin, Tommy Dang

Faculty Research, Scholarly, and Creative Activity

Malicious applications are usually comprehended through two major techniques, namely static and dynamic analyses. Through static analysis, a given malicious program is parsed, and some representative artifacts (e.g., control-flow graphs) are produced without any execution; whereas, the given malicious application needs to be executed when conducting dynamic analysis. These two mainstream techniques for analyzing the given software are effective in detecting certain classes of malware. More specifically, through static analysis, the patterns and signature of the malware are exposed, helping in detecting any known malicious payload hidden in or injected into the code. On the other hand, behavioral and run-time …

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In-Vehicle Human Machine Interface: Investigating The Effects Of Tactile Displays On Information Presentation In Automated Vehicles, Kimberly D. Martinez, Gaojian Huang Jan 2022

In-Vehicle Human Machine Interface: Investigating The Effects Of Tactile Displays On Information Presentation In Automated Vehicles, Kimberly D. Martinez, Gaojian Huang

Faculty Research, Scholarly, and Creative Activity

Background: Semi-autonomous vehicles still require human drivers to take over when the automated systems can no longer perform the driving task. Objective: The goal of this study was to design and test the effects of six meaningful tactile signal types, representing six driving scenarios (i.e., navigation, speed, surrounding vehicles, over the speed limit, headway reductions, and pedestrian status) respectively, and two pattern durations (lower and higher urgencies), on drivers' perception and performance during automated driving. Methods: Sixteen volunteers participated in an experiment utilizing a medium-fidelity driving simulator presenting vibrotactile signals via 20 tactors embedded in the seat back, pan, and …

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Prediction Of Length Of Stay In The Emergency Department For Covid-19 Patients: A Machine Learning Approach, Egbe Etu Etu, Leslie Monplaisir, Suzan Arslanturk, Sara Masoud, Celestine Aguwa, Ihor Markevych, Joseph Miller Jan 2022

Prediction Of Length Of Stay In The Emergency Department For Covid-19 Patients: A Machine Learning Approach, Egbe Etu Etu, Leslie Monplaisir, Suzan Arslanturk, Sara Masoud, Celestine Aguwa, Ihor Markevych, Joseph Miller

Faculty Research, Scholarly, and Creative Activity

The coronavirus disease (COVID-19) outbreak has become a global public health threat. The influx of COVID-19 patients has prolonged the length of stay (LOS) in the emergency department (ED) in the United States. Our objective is to develop a reliable prediction model for COVID-19 patient ED LOS and identify clinical factors, such as age and comorbidities, associated with LOS within a '4-hour target.' Data were collected from an urban, demographically diverse hospital in Detroit for all COVID-19 patients' ED presentations from March 16 to December 29, 2020. We trained four machine learning models, namely logistic regression (LR), gradient boosting (GB), …

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On The Integer-Antimagic Spectra Of Non-Hamiltonian Graphs, Wai Chee Shiu, Richard M. Low Jan 2022

On The Integer-Antimagic Spectra Of Non-Hamiltonian Graphs, Wai Chee Shiu, Richard M. Low

Faculty Research, Scholarly, and Creative Activity

Let A be a nontrivial abelian group. A connected simple graph G = (V, E) is A-antimagic if there exists an edge labeling f : E(G) → A \ {0} such that the induced vertex labeling f+ : V (G) → A, defined by f+(v) = Σ {f(u, v): (u, v) ∈ E(G)}, is a one-to-one map. In this paper, we analyze the group-antimagic property for Cartesian products, hexagonal nets and theta graphs.

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Discrimination Experiences During Covid-19 Among A National, Multi-Lingual, Community-Based Sample Of Asian Americans And Pacific Islanders: Compass Findings, Van M. Ta Park, Marcelle M. Dougan, Oanh L. Meyer, Bora Nam, Marian Tzuang, Linda G. Park, Quyen Vuong, Joon Bang, Janice Y. Tsoh Jan 2022

Discrimination Experiences During Covid-19 Among A National, Multi-Lingual, Community-Based Sample Of Asian Americans And Pacific Islanders: Compass Findings, Van M. Ta Park, Marcelle M. Dougan, Oanh L. Meyer, Bora Nam, Marian Tzuang, Linda G. Park, Quyen Vuong, Joon Bang, Janice Y. Tsoh

Faculty Research, Scholarly, and Creative Activity

Reports of escalated discrimination among Asian Americans and Pacific Islanders (AAPIs) due to COVID-19 are alarming, making this a public health priority. However, there are limited empirical studies on the scope and impact of COVID-19-related discrimination among AAPIs. Using the COVID-19 Effects on the Mental and Physical Health of AAPI Survey Study (COMPASS) data (N = 4971; survey period: October 2020–February 2021), which is a U.S.-wide multi-lingual survey, we examined the prevalence of, and factors associated with discrimination experiences attributable to being an AAPI during the COVID-19 pandemic. Overall, 60.7% reported experiencing discrimination; the group prevalence ranged from 80.0% (Hmong) …

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Efficient Routing Protection Algorithm Based On Optimized Network Topology, Haijun Geng, Zikun Jin, Jiangyuan Yao, Han Zhang, Zhiguo Hu, Bo Yang, Yingije Guo, Wei Wang, Qidong Zhang, Guoao Duan Jan 2022

Efficient Routing Protection Algorithm Based On Optimized Network Topology, Haijun Geng, Zikun Jin, Jiangyuan Yao, Han Zhang, Zhiguo Hu, Bo Yang, Yingije Guo, Wei Wang, Qidong Zhang, Guoao Duan

Faculty Research, Scholarly, and Creative Activity

Network failures are unavoidable and occur frequently. When the network fails, intra-domain routing protocols deploying on the Internet need to undergo a long convergence process. During this period, a large number of messages are discarded, which results in a decline in the user experience and severely affects the quality of service of Internet Service Providers (ISP). Therefore, improving the availability of intra-domain routing is a trending research question to be solved. Industry usually employs routing protection algorithms to improve intra-domain routing availability. However, existing routing protection schemes compute as many backup paths as possible to reduce message loss due to …

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Impact Of Location Spoofing Attacks On Performance Prediction In Mobile Networks, Nikhil Sai Kanuri, Sang Yoon Chang, Younghee Park, Jonghyun Kim, Jinoh Kim Jan 2022

Impact Of Location Spoofing Attacks On Performance Prediction In Mobile Networks, Nikhil Sai Kanuri, Sang Yoon Chang, Younghee Park, Jonghyun Kim, Jinoh Kim

Faculty Research, Scholarly, and Creative Activity

Performance prediction in wireless mobile networks is essential for diverse purposes in network management and operation. Particularly, the position of mobile devices is crucial to estimating the performance in the mobile communication setting. With its importance, this paper investigates mobile communication performance based on the coordinate information of mobile devices. We analyze a recent 5G data collection and examine the feasibility of location-based performance prediction. As location information is key to performance prediction, the basic assumption of making a relevant prediction is the correctness of the coordinate information of devices given. With its criticality, this paper also investigates the impact …

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Word Embeddings For Fake Malware Generation, Quang Duy Tran, Fabio Di Troia Jan 2022

Word Embeddings For Fake Malware Generation, Quang Duy Tran, Fabio Di Troia

Faculty Research, Scholarly, and Creative Activity

Signature and anomaly-based techniques are the fundamental methods to detect malware. However, in recent years this type of threat has advanced to become more complex and sophisticated, making these techniques less effective. For this reason, researchers have resorted to state-of-the-art machine learning techniques to combat the threat of information security. Nevertheless, despite the integration of the machine learning models, there is still a shortage of data in training that prevents these models from performing at their peak. In the past, generative models have been found to be highly effective at generating image-like data that are similar to the actual data …

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A Blockchain-Based Tamper-Resistant Logging Framework, Thomas H. Austin, Fabio Di Troia Jan 2022

A Blockchain-Based Tamper-Resistant Logging Framework, Thomas H. Austin, Fabio Di Troia

Faculty Research, Scholarly, and Creative Activity

Since its introduction in Bitcoin, the blockchain has proven to be a versatile data structure. In its role as an immutable ledger, it has grown beyond its initial use in financial transactions to be used in recording a wide variety of other useful information. In this paper, we explore the application of the blockchain outside of its traditional decentralized, financial domain. We show how, even with only a single “mining” node, a proof-of-work blockchain can be the cornerstone of a tamper resistant logging framework. By attaching a proof-of-work to blocks of logging messages, we make it increasingly difficult for an …

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Twitter Bots’ Detection With Benford’S Law And Machine Learning, Sanmesh Bhosale, Fabio Di Troia Jan 2022

Twitter Bots’ Detection With Benford’S Law And Machine Learning, Sanmesh Bhosale, Fabio Di Troia

Faculty Research, Scholarly, and Creative Activity

Online Social Networks (OSNs) have grown exponentially in terms of active users and have now become an influential factor in the formation of public opinions. For this reason, the use of bots and botnets for spreading misinformation on OSNs has become a widespread concern. Identifying bots and botnets on Twitter can require complex statistical methods to score a profile based on multiple features. Benford’s Law, or the Law of Anomalous Numbers, states that, in any naturally occurring sequence of numbers, the First Significant Leading Digit (FSLD) frequency follows a particular pattern such that they are unevenly distributed and reducing. This …

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Fake Malware Generation Using Hmm And Gan, Harshit Trehan, Fabio Di Troia Jan 2022

Fake Malware Generation Using Hmm And Gan, Harshit Trehan, Fabio Di Troia

Faculty Research, Scholarly, and Creative Activity

In the past decade, the number of malware attacks have grown considerably and, more importantly, evolved. Many researchers have successfully integrated state-of-the-art machine learning techniques to combat this ever present and rising threat to information security. However, the lack of enough data to appropriately train these machine learning models is one big challenge that is still present. Generative modelling has proven to be very efficient at generating image-like synthesized data that can match the actual data distribution. In this paper, we aim to generate malware samples as opcode sequences and attempt to differentiate them from the real ones with the …

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Crowdfunding Non-Fungible Tokens On The Blockchain, Sean Basu, Kimaya Basu, Thomas H. Austin Jan 2022

Crowdfunding Non-Fungible Tokens On The Blockchain, Sean Basu, Kimaya Basu, Thomas H. Austin

Faculty Research, Scholarly, and Creative Activity

Non-fungible tokens (NFTs) have been used as a way of rewarding content creators. Artists publish their works on the blockchain as NFTs, which they can then sell. The buyer of an NFT then holds ownership of a unique digital asset, which can be resold in much the same way that real-world art collectors might trade paintings. However, while a deal of effort has been spent on selling works of art on the blockchain, very little attention has been paid to using the blockchain as a means of fundraising to help finance the artist’s work in the first place. Additionally, while …

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Blackcurrants: A Nutrient-Rich Source For The Development Of Functional Foods For Improved Athletic Performance, Ali Ali Redha, Shahida Anusha Siddiqui, Reza Zare, Daniele Spadaccini, Silvia Guazzotti, Xi Feng, Nur Alim Bahmid, Yuan Seng Wu, Fathima Zahraa Ozeer, Rotimi E. Aluko Jan 2022

Blackcurrants: A Nutrient-Rich Source For The Development Of Functional Foods For Improved Athletic Performance, Ali Ali Redha, Shahida Anusha Siddiqui, Reza Zare, Daniele Spadaccini, Silvia Guazzotti, Xi Feng, Nur Alim Bahmid, Yuan Seng Wu, Fathima Zahraa Ozeer, Rotimi E. Aluko

Faculty Research, Scholarly, and Creative Activity

Blackcurrants are nutrient-rich fruits with a significant amount of bioactive compounds including vitamin C and polyphenols, especially anthocyanins. The high phytochemical content of blackcurrants promotes this fruit to become a valuable functional food ingredient with varying health-promoting activities targeting different consumers including athletes. Athletes experience oxidative stress during intense exercise, which can result in inflammation and reduced exercise performance. Antioxidants such as vitamin C and polyphenols can restore the regular oxidative status of the body. Blackcurrant supplementation has shown potential ergogenic activity to improve athlete performance during high-intensity training. Clinical trials have evaluated the effectiveness of blackcurrant supplementation on exercise …

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Leveraging Hispanic-Serving Institutions Within Physics Education Research, Brianne Gutmann, Rebecca Rosenblatt Jan 2022

Leveraging Hispanic-Serving Institutions Within Physics Education Research, Brianne Gutmann, Rebecca Rosenblatt

Faculty Research, Scholarly, and Creative Activity

Hispanic serving institutions (HSIs) are an increasingly large set of higher education institutions in the United States. From 2010-2020 the number of HSIs increased from 311 to 569. Within the physics education research (PER) community, research perspectives from HSIs have provided critical insights into how to support racially and ethnically diverse students. Within the last decade, research from HSIs made up approximately 20% of publications from US higher education institutions in common PER journals. These publications do not always fully name and leverage their HSI context, though the work done at HSIs still more consistently centers students’ identities as compared …

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Abortion Attempts Without Clinical Supervision Among Transgender, Nonbinary And Gender-Expansive People In The United States, Heidi Moseson, Laura Fix, Caitlin Gerdts, Sachiko Ragosta, Jen Hastings, Ari Stoeffler, Eli A. Goldberg, Mitchell R. Lunn, Annesa Flentje, Matthew R. Capriotti, Micah E. Lubensky, Juno Obedin-Maliver Jan 2022

Abortion Attempts Without Clinical Supervision Among Transgender, Nonbinary And Gender-Expansive People In The United States, Heidi Moseson, Laura Fix, Caitlin Gerdts, Sachiko Ragosta, Jen Hastings, Ari Stoeffler, Eli A. Goldberg, Mitchell R. Lunn, Annesa Flentje, Matthew R. Capriotti, Micah E. Lubensky, Juno Obedin-Maliver

Faculty Research, Scholarly, and Creative Activity

Background Transgender, nonbinary and gender-expansive (TGE) people face barriers to abortion care and may consider abortion without clinical supervision. Methods In 2019, we recruited participants for an online survey about sexual and reproductive health. Eligible participants were TGE people assigned female or intersex at birth, 18 years and older, from across the United States, and recruited through The PRIDE Study or via online and in-person postings. Results Of 1694 TGE participants, 76 people (36% of those ever pregnant) reported considering trying to end a pregnancy on their own without clinical supervision, and a subset of these (n=40; 19% of those …

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Sieve Or Shield? High Tech Firms And Entrepreneurs And The Impacts Of Covid 19 On North American Border Regions, Kathrine Eileen Richardson, Francesco Cappellano Jan 2022

Sieve Or Shield? High Tech Firms And Entrepreneurs And The Impacts Of Covid 19 On North American Border Regions, Kathrine Eileen Richardson, Francesco Cappellano

Faculty Research, Scholarly, and Creative Activity

This study examines the role of international borders in the era of the Covid-19 pandemic, which led to unprecedented national decisions to close borders in order to contain the domestic contagion. The idea that borders act as shields conflicts with the needs of cross-border regions, as they rely on networks straddling the borders for goods and services’ provisions. This paper explores different approaches at individual, local, and regional policy levels used to counterbalance such impacts. As evidenced by North American border closures to most non-citizens seeking entry (shield effects), it is important to understand how professionals, firms, and their networks …

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A Blockchain-Based Retribution Mechanism For Collaborative Intrusion Detection, Wenjun Fan, Shubham Kumar, Sang Yoon Chang, Younghee Park Jan 2022

A Blockchain-Based Retribution Mechanism For Collaborative Intrusion Detection, Wenjun Fan, Shubham Kumar, Sang Yoon Chang, Younghee Park

Faculty Research, Scholarly, and Creative Activity

Collaborative intrusion detection approach uses the shared detection signature between the collaborative participants to facilitate coordinated defense. In the context of collaborative intrusion detection system (CIDS), however, there is no research focusing on the efficiency of the shared detection signature. The inefficient detection signature costs not only the IDS resource but also the process of the peer-to-peer (P2P) network. In this paper, we therefore propose a blockchain-based retribution mechanism, which aims to incentivize the participants to contribute to verifying the efficiency of the detection signature in terms of certain distributed consensus. We implement a prototype using Ethereum blockchain, which instantiates …

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Obsessive-Compulsive Disorder Misdiagnosis Among Mental Healthcare Providers In Latin America, Mayra I. Perez, Danica L. Limon, Abigail E. Candelari, Sandra L. Cepeda, Ana C. Ramirez, Andrew G. Guzick, Minjee Kook, Valerie La Buissonniere Ariza, Sophie C. Schneider, Wayne K. Goodman, Eric A. Storch Jan 2022

Obsessive-Compulsive Disorder Misdiagnosis Among Mental Healthcare Providers In Latin America, Mayra I. Perez, Danica L. Limon, Abigail E. Candelari, Sandra L. Cepeda, Ana C. Ramirez, Andrew G. Guzick, Minjee Kook, Valerie La Buissonniere Ariza, Sophie C. Schneider, Wayne K. Goodman, Eric A. Storch

Psychological Science Faculty Publications

Mental healthcare professionals often have limited awareness of different obsessive-compulsive disorder (OCD) symptom presentations, which may contribute to years between OCD symptom onset and treatment initiation. While research has identified high rates of OCD misdiagnosis among clinicians from the United States and Canada, research on OCD symptom awareness among healthcare providers in Latin American (LATAM) regions is limited. In this study, LATAM mental healthcare providers (N = 83) provided diagnostic impressions based on five OCD vignettes: three with symptoms centered on taboo thoughts (sexual, harming others, and religion/scrupulosity) and two about contamination or symmetry obsessions. Rates of incorrect (non-OCD) …

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Adolescent Sleep Behavioral Interventions And Opportunities To Improve Cognitive Functioning: A Call For Action Improve Cognitive Functioning: A Call For Action, Leonell Torres-Pagan, Angelica Terepka, Renata Vaysman, Nicole M. Velez-Agosto, John Usseglio Jan 2022

Adolescent Sleep Behavioral Interventions And Opportunities To Improve Cognitive Functioning: A Call For Action Improve Cognitive Functioning: A Call For Action, Leonell Torres-Pagan, Angelica Terepka, Renata Vaysman, Nicole M. Velez-Agosto, John Usseglio

Psychological Science Faculty Publications

Sleep is related to cognitive functioning, learning, and brain development in the adolescent population. Recent research indicates a rise in the presence of chronic sleep disorders such as insomnia in adolescents, particularly following the COVID-19 pandemic. Therefore, research on the effectiveness of sleep interventions for adolescents is necessary to guide treatment in adolescents. The authors conducted a systematic review of literature examining research on outcomes of treatment interventions for insomnia on sleep quality and cognitive functioning in adolescents. Results indicate a dearth of research examining effectiveness of treatment in adolescents, particularly in relation to the impact of such treatment on …

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Law And Recordkeeping: A Tale Of Four African Countries, Darra Hofman, Shadrack Katuu Jan 2022

Law And Recordkeeping: A Tale Of Four African Countries, Darra Hofman, Shadrack Katuu

Faculty Research, Scholarly, and Creative Activity

No abstract provided.

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