Andrew Swain

Dr. Andrew Swain

orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
19 May 2022 in Microbiology Resource Announcements
Verified
Journal Article
Open access
ECEmilee L. Carr
Emilee L. Carr
MWMcKay E. Wilson
McKay E. Wilson
SAStephen T. Adams
Stephen T. Adams
DADaniel K. Arens
Daniel K. Arens
MAMoroni Ayala
Moroni Ayala
Julianne GroseJulianne Grose
Julianne Grose
We announce the complete genome sequences of 14 Serratia bacteriophages isolated from wastewater treatment plants. These phages define two previously undescribed types which we call the Carrot-like phage cluster (phages Carrot, BigDog, LittleDog, Niamh, Opt-148, Opt-169, PhooPhighters, Rovert, Serratianator, Stoker, Swain, and Ulliraptor) and Tlacuache-like phage cluster (Tlacuache and Opt-155).

31 January 2022 in Frontiers in Public Health
Verified
Journal Article
Open access
DCDeng Chen
Deng Chen
YHYilu Huang
Yilu Huang
SCSikun Chen
Sikun Chen
YHYunzhe Huang
Yunzhe Huang
ASAndrew Swain
Andrew Swain
JYJinming Yu
Jinming Yu
Objective: To construct a simple model containing predictors derived from Chinese Learning Accomplishment Profile (C-LAP) to better the evaluation of the social–emotional development of toddlers aged 24–36 months. Method: The test results by C-LAP system and demographic information of toddlers aged 24–36 months were collected between 2013 and 2019 in Shanghai, China, whose guardians were voluntary to accept the investigation. We developed a norm with the dataset based on the study population. With the norm, stepwise regression and best subset analysis were applied to select predictors. Results: Relying on the norm established and stepwise regression and also the best subset analysis, an optimal model containing only 6 indicators was finally determined and the nomogram of the model was constructed. In the training and validation dataset, the AUCs of the optimal model were 0.95 (95% CI: 0.94–0.96) and 0.88 (95% CI: 0.85–0.90), respectively. When the cutoff point of the model was set at 0.04, its sensitivity in training and validation dataset was 0.969 and 0.949, respectively, and the specificity in training and validation dataset is 0.802 and 0.736, respectively. Conclusion: A simplified predictive model which includes only 6 items derived from C-LAP is developed to evaluate the probabilities of being at risk of developmental problem in social–emotional development for toddlers aged 24–36 months. Meanwhile, specificity and sensitivity of the model may be high enough for future fast screening.

9 December 2025 in Entropy
Verified
Journal Article
Open access
PDF file
Willie HarrisonWillie Harrison
Willie Harrison
TWTruman Welling
Truman Welling
ASAndrew Swain
Andrew Swain
MSMorteza Shoushtari
Morteza Shoushtari
Physical-layer security can aid in establishing secure telecommunication networks including cellular, Internet of Things, and telemetry networks, among others. Channel sounding techniques and/or telemetry systems for reporting channel conditions, coupled with superior wiretap code design are necessary to implement such secure systems. In this paper, we present recent results in best wiretap coset code design for the binary erasure wiretap channel. We define equivocation matrices, and showcase their properties and utility in constructing good, and even the best, wiretap codes. We outline the notion of equivalence for wiretap coset codes, and use it to reduce the search space in exhaustive searches for best small codes. Through example, we show that the best codes do not exist for some code sizes. We also prove that simplex codes are better than codes repeating one column multiple times in their generator matrix.