Star Formation and Gas Accretion in Nearby Galaxies

In order to quantify the relationship between gas accretion and star formation, we analyse a sample of 29 nearby galaxies from the WHISP survey which contains galaxies with and without evidence for recent gas accretion. We compare combined radial profiles of FUV (GALEX) and IR 24 {\mu}m (Spitzer) characterizing distributions of recent star formation with radial profiles of CO (IRAM, BIMA, or CARMA) and HI (WSRT) tracing molecular and atomic gas contents to examine star formation efficiencies in symmetric (quiescent), asymmetric (accreting), and interacting (tidally disturbed) galaxies. In addition, we investigate the relationship between star formation rate and HI in the outer discs for the three groups of galaxies. We confirm the general relationship between gas surface density and star formation surface density, but do not find a significant difference between the three groups of galaxies.Comment: Accepted for publication in MNRAS, 18 pages, 9 figures, 1 tabl

Recognizing and Accomplishing the Double Mission: A Short History of Studies on Japanese Politics in Korea

This paper examines the characteristics of studies on Japanese politics in South Korea, one of the leading fields of Japanese studies in the county, by focusing on their achievements and limits. Commemorating the fiftieth anniversary of the Korea-Japan Normalization Treaty, this paper addresses the problems and missions of Japanese political studies in Korea to enable further development of the field. Through reviewing the history of the field and analyzing the activities of the Korea Association for Contemporary Japanese Studies, this paper illustrates that establishing Koreas own research methodology and achieving global validity have been the double missions to be accomplished simultaneously. After Koreas liberation, the American perspective emerged as a new universal approach to Japanese studies, creating a new tension with Korean scholars pursuit of critical Japanese studies. Since the late 1960s, while beginning to consider Japan as a model, Korean scholars came to recognize a gap between the model and the reality. The research achievements that began in the 1980s and radically increased in the 1990s inherited and then overcame this legacy

SHOCK ATTENUATION MECHANISM AT THE BACKPACK WEIGHT CHANGE IN DROP LANDINGS

The purpose of this study was to investigate the shock attenuation mechanisms while varying the loads in a backpack during drop landing. Ten subjects (age: 22.8±3.6, height: 173.5±4.3, weight: 70.4±5.2) performed drop landing under five varying loads (0, 5kg, 10kg, 20kg, 30kg). By employing two cameras (Sony VX2100) the following kinematic variables (phase time, joint rotational angle and velocity of ankle, knee and hip) were calculated by applying 2D motion analysis. Additional data, i.e. max vertical ground force (VGRF) and acceleration, was acquired by using two AMTI Force plates and a Noraxon Inline Accelerometer Sensor. Through analysing the power spectrum density (PSD), drop landing patterns were classified into four groups and each group was discovered to have a different shock attenuation mechanism. The first pattern that appeared at landing was that the right leg absorbed most of the shock attenuation. The second pattern to appear was that subject quickly transferred the load from the right leg to the left leg as quickly as possible. Thus, this illustrated that two shock attenuation mechanisms occurred during drop landing under varying load conditions

The Interstellar Medium and Star Formation in Edge-On Galaxies. II. NGC 4157, 4565, and 5907

We present a study of the vertical structure of the gaseous and stellar disks in a sample of edge-on galaxies (NGC 4157, 4565, and 5907) using BIMA/CARMA 12CO (J = 1 --> 0), VLA H I, and Spitzer 3.6 micron data. In order to take into account projection effects when we measure the disk thickness as a function of radius, we first obtain the inclination by modeling the radio data. Using the measurement of the disk thicknesses and the derived radial profiles of gas and stars, we estimate the corresponding volume densities and vertical velocity dispersions. Both stellar and gas disks have smoothly varying scale heights and velocity dispersions, contrary to assumptions of previous studies. Using the velocity dispersions, we find that the gravitational instability parameter Q follows a fairly uniform profile with radius and is greater than or equal to 1 across the star forming disk. The star formation law has a slope that is significantly different from those found in more face-on galaxy studies, both in deprojected and pixel-by-pixel plots. Midplane gas pressure based on the varying scale heights and velocity dispersions appears to roughly hold a power-law correlation with the midplane volume density ratio.Comment: 26 pages, 26 figures, Accepted for publication in A

The Effect of Herbal Diet on Skeletal Muscle Mass After Resistance Training in Rats

Resistance training has been well established as an effective strategy for muscle hypertrophy, increase in skeletal muscle mass and strength. Herbal diet has been introduced as an alternative treatment to alleviate muscle atrophy and therapeutic intervention. However, there is little evidence on the effect of herbal diet on skeletal muscle mass. To investigate whether herbal diet affects skeletal muscle mass after resistance training in rats. Twenty-four rats were randomly divided into 3 groups: 1) Control (CON, N=8), 2) Resistance training (RT, N=8), 3) RT+Herb (RTH, N=8). Resistance training was performed every other day for 8 weeks using ladder climbing. The ladder climbing exercise consisted of 3 sets of 5 repetitions with a 1 min rest interval between the repetitions and a 2 min rest between the sets. Huang Qi (Radix Astragali Membranceus) was given via oral gavage once a day for 8 weeks (1 ml mixed with water based on concentration of 368 mg/kg). All rats received sham treatment, same as treatment groups. All data were analyzed using One-way ANOVA. After 8 weeks of interventions, muscle mass of Gastrocnemius, Plantaris, and Flexor hallucis longus showed significant increases in RT and RTH groups compared to CON (

Efficient Unified Demosaicing for Bayer and Non-Bayer Patterned Image Sensors

As the physical size of recent CMOS image sensors (CIS) gets smaller, the latest mobile cameras are adopting unique non-Bayer color filter array (CFA) patterns (e.g., Quad, Nona, QxQ), which consist of homogeneous color units with adjacent pixels. These non-Bayer sensors are superior to conventional Bayer CFA thanks to their changeable pixel-bin sizes for different light conditions but may introduce visual artifacts during demosaicing due to their inherent pixel pattern structures and sensor hardware characteristics. Previous demosaicing methods have primarily focused on Bayer CFA, necessitating distinct reconstruction methods for non-Bayer patterned CIS with various CFA modes under different lighting conditions. In this work, we propose an efficient unified demosaicing method that can be applied to both conventional Bayer RAW and various non-Bayer CFAs' RAW data in different operation modes. Our Knowledge Learning-based demosaicing model for Adaptive Patterns, namely KLAP, utilizes CFA-adaptive filters for only 1% key filters in the network for each CFA, but still manages to effectively demosaic all the CFAs, yielding comparable performance to the large-scale models. Furthermore, by employing meta-learning during inference (KLAP-M), our model is able to eliminate unknown sensor-generic artifacts in real RAW data, effectively bridging the gap between synthetic images and real sensor RAW. Our KLAP and KLAP-M methods achieved state-of-the-art demosaicing performance in both synthetic and real RAW data of Bayer and non-Bayer CFAs

Fully Quantized Always-on Face Detector Considering Mobile Image Sensors

Despite significant research on lightweight deep neural networks (DNNs) designed for edge devices, the current face detectors do not fully meet the requirements for "intelligent" CMOS image sensors (iCISs) integrated with embedded DNNs. These sensors are essential in various practical applications, such as energy-efficient mobile phones and surveillance systems with always-on capabilities. One noteworthy limitation is the absence of suitable face detectors for the always-on scenario, a crucial aspect of image sensor-level applications. These detectors must operate directly with sensor RAW data before the image signal processor (ISP) takes over. This gap poses a significant challenge in achieving optimal performance in such scenarios. Further research and development are necessary to bridge this gap and fully leverage the potential of iCIS applications. In this study, we aim to bridge the gap by exploring extremely low-bit lightweight face detectors, focusing on the always-on face detection scenario for mobile image sensor applications. To achieve this, our proposed model utilizes sensor-aware synthetic RAW inputs, simulating always-on face detection processed "before" the ISP chain. Our approach employs ternary (-1, 0, 1) weights for potential implementations in image sensors, resulting in a relatively simple network architecture with shallow layers and extremely low-bitwidth. Our method demonstrates reasonable face detection performance and excellent efficiency in simulation studies, offering promising possibilities for practical always-on face detectors in real-world applications.Comment: Accepted to ICCV 2023 Workshop on Low-Bit Quantized Neural Networks (LBQNN), Ora

High Percentage of Fat Calorie Intake may Result in Overweight Cyclists, Not Total Amount of Calorie Intake

Obesity has become a worldwide epidemic, representing a major health care challenge in the 21st century. There were numerous studies conducted to find a most effective intervention for reducing percentage of body fat. Among those interventions, exercise training has been proven to be a very effective strategy by enhancing the capacity to burn more body fat (fat oxidation capacity). However, there are the number of trained people with high % body fat even though they maintain high level of physical activity. PURPOSE: To compare various physiological variables including fat oxidation and diet patterns between normal and overweight trained cyclists. METHODS: Twelve well-trained amateur male cyclists aged 41.25 ± 1.65 yrs were assigned to either normal group (NO) and overweight group (OW) based on % body fat by hydrostatic measurement (19.56±1.08 vs. 25.23±1.34 % body fat) (each N=6). Respiratory exchange ratio (RER), blood pressure, blood lactate concentration, and heart rate were measured during the maximal test using a cycle ergometer. Dietry patterns were analyzed by three days diet log using computer software (DietPower). Independent t-test and two-way ANOVA with repeated measures were used to analyze data. RESULTS: There were no differences between NO and OW for age, height, weight, and body mass index. In addition, there were no differences between NO and OW for all cardiopulmonary fitness variables at rest and during maximal effort ergometer test. However, this study found that percentages of fat intake of OW was significantly higher compared to one of NO (OW: 41.67 ± 2.95 %; NO: 27.00 ± 2.25 %, p\u3c0.05). CONCLUSION: The findings of our study indicate that a greater body fat in some endurance-trained athletes would not be explained by cardiovascular, metabolic parameters and/or total caloric intake, but may be explained by high percentage of caloric intake from the fat

Robust Luttinger liquid state of 1D Dirac fermions in a van der Waals system Nb9_9Si4_4Te18_{18}

We report on the Tomonaga-Luttinger liquid (TLL) behavior in fully degenerate 1D Dirac fermions. A ternary van der Waals material Nb$_9$Si$_4$Te$_{18}$ incorporates in-plane NbTe$_2$ chains, which produce a 1D Dirac band crossing Fermi energy. Tunneling conductance of electrons confined within NbTe2 chains is found to be substantially suppressed at Fermi energy, which follows a power law with a universal temperature scaling, hallmarking a TLL state. The obtained Luttinger parameter of ~0.15 indicates strong electron-electron interaction. The TLL behavior is found to be robust against atomic-scale defects, which might be related to the Dirac electron nature. These findings, as combined with the tunability of the compound and the merit of a van der Waals material, offer a robust, tunable, and integrable platform to exploit non-Fermi liquid physics