A Review on the Computational Methods for Emotional State Estimation from the Human EEG

A growing number of affective computing researches recently developed a computer system that can recognize an emotional state of the human user to establish affective human-computer interactions. Various measures have been used to estimate emotional states, including self-report, startle response, behavioral response, autonomic measurement, and neurophysiologic measurement. Among them, inferring emotional states from electroencephalography (EEG) has received considerable attention as EEG could directly reflect emotional states with relatively low costs and simplicity. Yet, EEG-based emotional state estimation requires well-designed computational methods to extract information from complex and noisy multichannel EEG data. In this paper, we review the computational methods that have been developed to deduct EEG indices of emotion, to extract emotion-related features, or to classify EEG signals into one of many emotional states. We also propose using sequential Bayesian inference to estimate the continuous emotional state in real time. We present current challenges for building an EEG-based emotion recognition system and suggest some future directions.open

Optimization of Airport Surface Traffic: A Case-Study of Incheon International Airport

This study aims to develop a controllers decision support tool for departure and surface management of ICN. Airport surface traffic optimization for Incheon International Airport (ICN) in South Korea was studied based on the operational characteristics of ICN and airspace of Korea. For surface traffic optimization, a multiple runway scheduling problem and a taxi scheduling problem were formulated into two Mixed Integer Linear Programming (MILP) optimization models. The Miles-In-Trail (MIT) separation constraint at the departure fix shared by the departure flights from multiple runways and the runway crossing constraints due to the taxi route configuration specific to ICN were incorporated into the runway scheduling and taxiway scheduling problems, respectively. Since the MILP-based optimization model for the multiple runway scheduling problem may be computationally intensive, computation times and delay costs of different solving methods were compared for a practical implementation. This research was a collaboration between Korea Aerospace Research Institute (KARI) and National Aeronautics and Space Administration (NASA)

Operational Characteristics Identification and Simulation Model Verification for Incheon International Airport

Incheon International Airport (ICN) is one of the hub airports in East Asia. Airport operations at ICN have been growing more than 5% per year in the past five years. According to the current airport expansion plan, a new passenger terminal will be added and the current cargo ramp will be expanded in 2018. This expansion project will bring 77 new stands without adding a new runway to the airport. Due to such continuous growth in airport operations and future expansion of the ramps, it will be highly likely that airport surface traffic will experience more congestion, and therefore, suffer from efficiency degradation. There is a growing awareness in aviation research community of need for strategic and tactical surface scheduling capabilities for efficient airport surface operations. Specific to ICN airport operations, a need for A-CDM (Airport - Collaborative Decision Making) or S-CDM(Surface - Collaborative Decision Making), and controller decision support tools for efficient air traffic management has arisen since several years ago. In the United States, there has been independent research efforts made by academia, industry, and government research organizations to enhance efficiency and predictability of surface operations at busy airports. Among these research activities, the Spot and Runway Departure Advisor (SARDA) developed and tested by National Aeronautics and Space Administration (NASA) is a decision support tool to provide tactical advisories to the controllers for efficient surface operations. The effectiveness of SARDA concept, was successfully verified through the human-in-the-loop (HITL) simulations for both spot release and runway operations advisories for ATC Tower controllers of Dallas/Fort Worth International Airport (DFW) in 2010 and 2012, and gate pushback advisories for the ramp controller of Charlotte/Douglas International Airport (CLT) in 2014. The SARDA concept for tactical surface scheduling is further enhanced and is being integrated into NASA's Airspace Technology Demonstration - 2 (ATD-2) project for technology demonstration of Integrated Arrival/Departure/Surface (ADS) operations at CLT. This study is a part of the international research collaboration between KAIA (Korea Agency for Infrastructure Technology Advancement)/KARI (Korea Aerospace Research Institute) and NASA, which is being conducted to validate the effectiveness of SARDA concept as a controller decision support tool for departure and surface management of ICN. This paper presents the preliminary results of the collaboration effort. It includes investigation of the operational environment of ICN, data analysis for identification of the operational characteristics of the airport, construction and verification of airport simulation model using Surface Operations Simulator and Scheduler (SOSS), NASA's fast-time simulation tool

Malignant Gastrointestinal Stromal Tumor in a Patient with Neurofibromatosis type 1

Neurofibromatosis type 1 (von Recklinghausen's disease, NF-1) is an autosomal-dominant neurocutaneous disorder characterized by abnormal skin pigmentation (café au lait spots and axillary freckling), cutaneous and plexiform neurofibromas, skeletal dysplasias, and Lisch nodules (pigmented iris hamartomas). Gastrointestinal stromal tumors (GISTs) are the most common tumors of mesenchymal origin in the gastrointestinal tract, mesentery, omentum, and retroperitoneum. Here, we report a case of GIST in the ileum of a 76-year-old woman previously diagnosed as NF-1. She was admitted due to sudden onset of abdominal pain. Contrast enhanced CT scan revealed a moderately defined, peripherally enhanced soft tissue mass of about 8.8×7.3cm, originating from the small bowel in the left of the abdomen. Surgical excision was performed and the tumor was found to be composed of tumor cells that were positive for c-kit protein. The patient started imatinib treatment a month later, but stopped medication due to dyspepsia after a few months and eventually progressed after 18 month

Propensity score matched analysis for the safety and effectiveness of remdesivir in COVID-19 patients with renal impairment

Backgrounds Remdesivir (RDV) is an antiviral agent approved for the treatment of coronavirus disease 2019 (COVID-19); however, is not recommended for patients with renal impairment. Due to limitations associated with prospective clinical trials, real-world data on the safety and efficacy of RDV in patients with renal impairment are necessary. Methods Propensity score-matched (PSM) retrospective analysis was conducted between March 2020 and September 2022 in COVID-19 patients with an eGFR < 30 mL/min in four Korean hospitals. The RDV treatment group was matched to the untreated control group. The safety and clinical outcomes in patients who received RDV were analyzed. Results A total of 564 patients were enrolled; 229 patients received RDV either for treatment or prophylaxis. On day 5, no difference in nephrotoxicity was observed between the two groups, and liver enzyme levels were within the normal range. In multivariate analysis for new dialysis, RDV treatment was not a risk factor for new dialysis. Among the 564 patients, 417 were indicated for a 5-day course of RDV treatment and 211 patients were treated with RDV. After PSM, no differences in the clinical outcomes were observed between the two groups. Conclusion RDV use in COVID-19 patients with renal impairment did not result in significant nephrotoxicity or hepatotoxicity.This work was supported by the National Institute of Infectious Diseases; and National Institute of Health Research Projects (#2022-ER1903-01)

Associations of Heat-Shock Protein Expression with Meat Quality and Sensory Quality Characteristics in Highly Marbled Longissimus Thoracis Muscle from Hanwoo Steers Categorized by Warner–Bratzler Shear Force Value

The influence of heat-shock protein (HSP) concentrations at 45 min and 24 h postmortem on meat quality and sensory quality characteristics of longissimus thoracis muscle from highly marbled Hanwoo steers (beef marbling standard grade 6&ndash;8) was investigated. Muscle samples were segregated into three groups based on Warner&ndash;Bratzler shear force (WBSF) value. The low group exhibited a lower WBSF value compared to the medium and high groups (37.8 vs. 48.9 and 64.3 N, p &lt; 0.001). Muscle pH at 45 min and 24 h postmortem was not different (p &gt; 0.05), and all groups exhibited low ultimate pH value (pH &lt; 5.8). Beef steaks from the low group were significantly easier to pierce and chew, and they left less perceptible residue than the high group (p &lt; 0.05). These differences in tenderness attributes were associated with differences in small HSPs at 45 min postmortem, with the low group exhibiting a lower level of &alpha;&beta;-crystallin and higher levels of HSP20 and HSP27 compared with the high group (p &lt; 0.05). No differences were observed for small HSPs, HSP70, and HSP90 at 24 h postmortem (p &gt; 0.05). Therefore, the expression levels of small HSPs at 45 min postmortem seems to have the potential to be an indicator of tenderness in highly marbled Hanwoo beef with low ultimate pH

Un método para fusión de trayectoria usando asociación de datos en el sistema de combate naval

In today battlefield multi-sensors installed on naval ship are acquiring too much information. Information is used through naval combat system to improve reaction capability to threat more quickly and precise. For acting to threat, we have to make a decision whether same ones what each target from multi sensor and execute track fusion according to result of judgment. So in this paper, we propose the track fusion method using track’s varied information. We predicted and estimated the target state based on dynamic information using data association filter so made valid measurement area what is assumed that track exists. This algorithm can set up the criterion what is adaptive current status of track. Second we selected track among existing tracks in valid area by attributing weighting. The weight considers track’s information like identification, category and so on. We would like to execute more precisely track fusion through this fusion algorithm. Actualmente los sensores múltiples del campo de batalla instalados en una embarcación naval están adquiriendo demasiada información. La información es usada a través del sistema de combate naval para mejorar la capacidad de reacción y para amenazar de manera rápida y precisa. Actuar para amenazar, se debe tomar una decisión sobre cuál de los objetivos del sensor múltiple y ejecutar la fusión de trayectoria acuerdo el resultado del criterio. En este artículo, proponemos el método de fusión de trayectoria usando información variada de rastreo. Pronosticamos y estimamos el estado del objetivo en información dinámica usando filtro de asociación de datos lo cual hizo válida la medida de área que es asumida como trayectoria existente. Este algoritmo puede establecer el criterio cuál estado actual de adaptación de trayectoria. En segundo lugar, se eligió la trayectoria entre las existentes en un área válida mediante la atribución de ponderación. La ponderación considera la información de la trayectoria tal como: identificación, categoría, entre otros. Se podría ejecutar la fusión de trayectoria de manera más precisa a través de un algoritmo de fusión.

A method for track fusing using data association in naval combat system

In today battlefield multi-sensors installed on naval ship are acquiring too much information. Information is used through naval combat system to improve reaction capability to threat more quickly and precise. For acting to threat, we have to make a decision whether same ones what each target from multi sensor and execute track fusion according to result of judgment. So in this paper, we propose the track fusion method using track’s varied information. We predicted and estimated the target state based on dynamic information using data association filter so made valid measurement area what is assumed that track exists. This algorithm can set up the criterion what is adaptive current status of track. Second we selected track among existing tracks in valid area by attributing weighting. The weight considers track’s information like identification, category and so on. We would like to execute more precisely track fusion through this fusion algorithm. Actualmente los sensores múltiples del campo de batalla instalados en una embarcación naval están adquiriendo demasiada información. La información es usada a través del sistema de combate naval para mejorar la capacidad de reacción y para amenazar de manera rápida y precisa. Actuar para amenazar, se debe tomar una decisión sobre cuál de los objetivos del sensor múltiple y ejecutar la fusión de trayectoria acuerdo el resultado del criterio. En este artículo, proponemos el método de fusión de trayectoria usando información variada de rastreo. Pronosticamos y estimamos el estado del objetivo en información dinámica usando filtro de asociación de datos lo cual hizo válida la medida de área que es asumida como trayectoria existente. Este algoritmo puede establecer el criterio cuál estado actual de adaptación de trayectoria. En segundo lugar, se eligió la trayectoria entre las existentes en un área válida mediante la atribución de ponderación. La ponderación considera la información de la trayectoria tal como: identificación, categoría, entre otros. Se podría ejecutar la fusión de trayectoria de manera más precisa a través de un algoritmo de fusión.

Associations between weekend catch-up sleep and health-related quality of life with focusing on gender differences

Abstract This study investigated associations between weekend catch-up sleep (WCUS) and health-related quality of life (HRQoL) in 15,837 participants from the 7th (2016–2018) Korea National Health and Nutrition Examination Survey. We categorized WCUS durations into four groups: none (≤ 0 h [h]), short (> 0 h, ≤ 1 h), medium (> 1 h, ≤ 2 h), and long (> 2 h), and performed complex samples logistic regression and likelihood ratio χ2 test. The study found significant associations in women for the European Quality of Life-5 Dimensions (EQ-5D) index and three EQ-5D subdomains (self-care, usual activities, and anxiety/depression) with the WCUS durations, but no significant association in men. Compared to the non-WCUS, the short or medium WCUS was positively associated with the EQ-5D index and EQ-5D subdomains (usual activities and anxiety/depression) in women, while the long WCUS significantly reduced the quality of life in the self-care domain. In an additional subgroup analysis by age, middle-aged and elderly women had a more noticeable effect of WCUS on HRQoL than young women, and the short or medium WCUS improved HRQoL in middle-aged and elderly women in general. Therefore, we recommend appropriate WCUS durations to improve HRQoL, considering both gender and age