Publications by authors named "N Sertac Artan"

Article Synopsis
  • - The lab-scale G-SBR system achieved an impressive 85% total nitrogen removal and full phosphorus removal when treating synthetic wastewater, with the granule size averaging 400 µm.
  • - A dual-step nitrification and denitrification model was utilized, revealing that denitrification alone accounted for only 25% of nitrogen removal, while simultaneous nitrification and denitrification contributed the remaining 75% during aerobic phases.
  • - Optimizing conditions like low nitric oxide (NO) concentrations at the start of cycles helped enhance anaerobic periods, which improved biological phosphorus removal, while specific model parameters were adjusted to accurately reflect observed nitrogen profiles in the reactor.
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Article Synopsis
  • The study examined how a large wastewater treatment plant strayed from its original operational design by using both laboratory experiments and dynamic modeling techniques.
  • It found that the rates of nitrification and anaerobic hydrolysis were significantly lower than previous literature suggested, indicating inefficiencies in biogas production.
  • The combination of detailed experiments with a model simulation not only highlighted the poor performance of anaerobic digestion but also optimized the understanding of the plant's long-term operation.
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In this work, we present a case study to evaluate the connections between sleep, training load, and the perceptions of physical/emotional state of a collegiate, division 1 Women's basketball team. The study took place during the off- (3 weeks) and pre-season (6 weeks) while sleep was tracked using WHOOP wearable straps. Training load was recorded by the strength coach and athletes.

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Gait abnormalities are one of the distinguishing symptoms of patients with Parkinson's disease (PD) that contribute to fall risk. Our study compares the gait parameters of people with PD when they walk through a predefined course under different haptic speed cue conditions (1) without assistance, (2) pushing a conventional rolling walker, and (3) holding onto a self-navigating motorized walker under different speed cues. Six people with PD were recruited at the New York Institute of Technology College of Osteopathic Medicine to participate in this study.

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Robust seizure detection and seizure prediction continues to be a challenge. Lempel-Ziv Complexity (LZC) is one of the features that has shown to be relevant in seizure detection. Recent work has shown that augmenting LZC can be beneficial to emphasize variations in amplitude or frequency when analyzing biomedical signals.

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