Florida Polytechnic University

About: Florida Polytechnic University is a education organization based out in Lakeland, Florida, United States. It is known for research contribution in the topics: Computer science & Catalysis. The organization has 302 authors who have published 538 publications receiving 6549 citations. The organization is also known as: Florida Poly.

Effects of Radio Frequency Identification–Related Radiation on In Vitro Biologics

Abstract: The recent developments on the use of e-pedigree to identify the chain of custody of drugs suggests the use of advanced track and trace technologies such as two-dimensional barcodes and radio frequency identification (RFID) tags RFID technology is used mainly for valuable commodities such as pharmaceutical products while incorporating additional functionalities like monitoring environmental variables to ensure product safety and quality In its guidance for the use of RFID technologies for drugs (Compliance Policy Guide Section 400210), the Food and Drug Administration outlined multiple parameters that would apply to any study or application using RFID However, drugs approved under a Biologics License Application or protein drugs covered by a New Drug Application were excluded mainly due to concerns about the effects of radio frequency radiation (thermal and/or non-thermal) on biologics Even though the thermal effects of radio frequency on biologics are relatively well understood, there are few studies in the literature about the non-thermal effects of radio frequency with regards to the protein structure integrity In this paper, we analyze the non-thermal effects of radio frequency radiation by exposing a wide variety of biologics including biopharmaceuticals with vaccines, hormones, and immunoglobulins, as well as cellular blood products such as red blood cells and whole blood-derived platelets as well as fresh frozen plasma In order to represent the majority of the frequency spectrum used in RFID applications, five different frequencies (1356 MHz, 433 MHz, 868 MHz, 915 MHz, and 24 GHz) are used to account for the most commonly used international frequency bands for RFID With the help of specialized radio frequency signal-generating hardware, magnetic and electromagnetic fields are created around the exposed products with power levels greater than Federal Communications Commission–regulated limits The in vitro test results on more than 100 biopharmaceutical products from eight major pharmaceutical companies as well, as different blood products, show no non-thermal effect by radio frequency radiation LAY ABSTRACT: Forthcoming requirements, such as the California Board of Pharmacy Track and Trace initiative regarding the use of e-pedigree to identify the chain of custody of drugs, suggest the use of advanced track and trace technologies such as two-dimensional barcodes and radio frequency identification (RFID) tags When used for pharmaceuticals, RFID technology can support additional functionalities like monitoring temperature to ensure product safety In its guidance for the use of RFID technologies for drugs, the Food and Drug Administration outlined multiple parameters that would apply to pilot studies using RFID while excluding drugs approved under a Biologics License Application or protein drugs covered by a New Drug Application due to concerns about the effects of radio frequency radiation on biologics Even though the effects of radio frequency on biologics due to temperature changes are relatively well understood, there are few studies in the literature about other effects of radio frequency that can occur without a noticeable change in temperature In this paper, we expose a wide variety of biologics including biopharmaceuticals to radio frequency radiation at different frequencies, as well as cellular blood products and plasma to high frequency radiation The in vitro test results show no detectable effect due to radio frequency radiation

Can DiCoT Improve Infection Control?: A Distributed Cognition Study of Information Flow in Intensive Care

Abstract: Inhibited information flow in Intensive Care Units (ICUs) can degrade patient wellbeing and expose hospital staff to hazardous conditions. To identify areas for improvement, we applied the Distributed Cognition for Teamwork (DiCoT) methodology and representational framework in a large hospital in the Southeastern US. We conducted ethnographic observations and interviews for 4 months, discovering systemic information flow barriers. This paper focuses on patient isolation status, which is put into place when a communicable disease is discovered, and how status propagation is sometimes delayed, increasing risk of Hospital-Acquired Infection (HAI). We use DiCoT to navigate the solution space, and propose introducing digital signs. Our main contribution is describing how DiCoT principles quickly led us to solutions to improving information flow in critical care. In future work, we will conduct further investigation, with additional design iterations.

Reliability and Validity of Generalizable Skills Instruments for Students Who Are Deaf, Blind, or Visually Impaired

Abstract: The study examined the validity and reliability of four assessments, with three instruments per domain. Domains included generalizable mathematics, communication, interpersonal relations, and reasoning skills. Participants were deaf, legally blind, or visually impaired students enrolled in vocational classes at residential secondary schools. The researchers estimated the internal consistency reliability, test-retest reliability, and construct validity correlations of three subinstruments: student self-ratings, teacher ratings, and performance assessments. The data suggest that these instruments are highly internally consistent measures of generalizable vocational skills. Four performance assessments have high-to-moderate test-retest reliability estimates, and were generally considered to possess acceptable validity and reliability.

CyberBERT: A Deep Dynamic-State Session-Based Recommender System for Cyber Threat Recognition

Abstract: Session-based recommendation is the task of predicting user actions during short online sessions. The user is considered to be anonymous in this setting, with no past behavior history available. Predicting anonymous users' next actions and their preferences in the absence of historical user behavior information is valuable from a cybersecurity and aerospace perspective, as cybersecurity measures rely on the prompt classification of novel threats. Our offered solution builds upon the previous representation learning work originating from natural language processing, namely BERT, which stands for Bidirectional Encoder Representations from Transformers (Devlin et al., 2018). In this paper we propose CyberBERT, the first deep session-based recommender system to employ bidirectional transformers to model the intent of anonymous users within a session. The session-based setting lends itself to applications in threat recognition, through monitoring of real-time user behavior using the CyberBERT architecture. We evaluate the efficiency of this dynamic state method using the Windows PE Malware API sequence dataset (Catak and Yazi, 2019), which contains behavior for 7107 API call sequences executed by 8 classes of malware. We compare the proposed CyberBERT solution to two high-performing benchmark algorithms on the malware dataset: LSTM (Long Short-term Memory) and transformer encoder (Vaswani et al., 2017). We also evaluate the method using the YOOCHOOSE 1/64 dataset, which is a session-based recommendation dataset that contains 37,483 items, 719,470 sessions, and 31,637,239 clicks. Our experiments demonstrate the advantage of a bidirectional architecture over the unidirectional approach, as well as the flexibility of the CyberBERT solution in modelling the intent of anonymous users in a session. Our system achieves state-of-the-art measured by F1 score on the Windows PE Malware API sequence dataset, and state-of-the-art for P@20 and MRR@20 on YOOCHOOSE 1/64. As CyberBERT allows for user behavior monitoring in the absence of behavior history, it acts as a robust malware classification system that can recognize threats in aerospace systems, where malicious actors may be interacting with a system for the first time. This work provides the backbone for systems that aim to protect aviation and aerospace applications from prospective third-party applications and malware.

Role of the C language in current computing curricula part 1: survey analysis

Abstract: In December 2006, an anonymous online survey was publicized on the various ACM mailing lists (SIGCSE, SIGITE). Its purpose was to determine the role of the C language in the various modern computing curricula (CS, IT...). This paper summarizes the results and stresses out the quantitative usage of this language in introductory and intermediate programming courses as well as in upper-level undergraduate courses (e.g. operating systems). We also present the qualitative reasons provided by our respondents for, or against, the adoption of the C language in these various courses. We then discuss these results and propose an analysis of when the C language might be most useful in the curriculum, how it should be introduced and what specific topics should be covered in such a re-designed "intermediate programming in C" course.