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Lysosome Inhibition Reduces Basal and Nutrient-Induced Fat Accumulation in Caenorhabditis elegans

  • Lu, Rui;Chen, Juan;Wang, Fangbin;Wang, Lu;Liu, Jian;Lin, Yan
    • Molecules and Cells
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    • v.45 no.9
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    • pp.649-659
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    • 2022
  • A long-term energy nutritional imbalance fundamentally causes the development of obesity and associated fat accumulation. Lysosomes, as nutrient-sensing and lipophagy centers, critically control cellular lipid catabolism in response to nutrient deprivation. However, whether lysosome activity is directly involved in nutrient-induced fat accumulation remains unclear. In this study, worm fat accumulation was induced by 1 mM glucose or 0.02 mM palmitic acid supplementation. Along with the elevation of fat accumulation, lysosomal number and acidification were also increased, suggesting that lysosome activity might be correlated with nutrient-induced fat deposition in Caenorhabditis elegans. Furthermore, treatments with the lysosomal inhibitors chloroquine and leupeptin significantly reduced basal and nutrient-induced fat accumulation in C. elegans. The knockdown of hlh-30, which is a critical gene in lysosomal biogenesis, also resulted in worm fat loss. Finally, the mutation of aak-2, daf-15, and rsks-1 showed that mTORC1 (mechanistic target of rapamycin complex-1) signaling mediated the effects of lysosomes on basal and nutrient-induced fat accumulation in C. elegans. Overall, this study reveals the previously undescribed role of lysosomes in overnutrition sensing, suggesting a new strategy for controlling body fat accumulation.

Fabrication of Red and Green Phosphor Ink for the Micro LED Color Filter Using Ink-Jet Process (Micro LED 제작을 위한 Color Filter용 잉크젯 공정 적색, 녹색 형광체 잉크 연구)

  • Bo Joong Kim;Si Hong Ryu;Hyo Sil, Yang;Young Boo Moon;Chang-Bun Yoon
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.36 no.5
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    • pp.494-499
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    • 2023
  • In this paper, in order to apply the CF (color filter) type of the micro light emitting device (Micro LED) display method, a study on the manufacturing process of red and green phosphor inks for the inkjet process was conducted. The blue light-emitting KSF and LuAG phosphors were respectively used to control the phosphor particle size to about 1㎛, and a phosphor ink was prepared by synthesizing with a low-viscosity solution (IPA/Eg). A chemical dispersion method was applied to selectively control the dispersion characteristics in the manufacture of phosphor inks, and in particular, phosphor inks with a dispersant applied a dispersant secured stable dispersion characteristic compared to phosphor inks without a dispersion process. Therefore, it seems possible to manufacture CF for Micro LED through an inkjet process capable of controlling the dispersion characteristics of phosphor ink.

Deep-learning-based gestational sac detection in ultrasound images using modified YOLOv7-E6E model

  • Tae-kyeong Kim;Jin Soo Kim;Hyun-chong Cho
    • Journal of Animal Science and Technology
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    • v.65 no.3
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    • pp.627-637
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    • 2023
  • As the population and income levels rise, meat consumption steadily increases annually. However, the number of farms and farmers producing meat decrease during the same period, reducing meat sufficiency. Information and Communications Technology (ICT) has begun to be applied to reduce labor and production costs of livestock farms and improve productivity. This technology can be used for rapid pregnancy diagnosis of sows; the location and size of the gestation sacs of sows are directly related to the productivity of the farm. In this study, a system proposes to determine the number of gestation sacs of sows from ultrasound images. The system used the YOLOv7-E6E model, changing the activation function from sigmoid-weighted linear unit (SiLU) to a multi-activation function (SiLU + Mish). Also, the upsampling method was modified from nearest to bicubic to improve performance. The model trained with the original model using the original data achieved mean average precision of 86.3%. When the proposed multi-activation function, upsampling, and AutoAugment were applied, the performance improved by 0.3%, 0.9%, and 0.9%, respectively. When all three proposed methods were simultaneously applied, a significant performance improvement of 3.5% to 89.8% was achieved.

How Does Intellectual Capital Fuel Non-Interest Incomes in Banks? New Case from an Emerging Country

  • Chi Huu Lu;Thich Van Nguyen
    • Journal of Contemporary Eastern Asia
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    • v.22 no.1
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    • pp.1-25
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    • 2023
  • The aim of this study is to answer the straightforward question of whether the implementation of IC has fueled non-interest incomes of banks or not. By utilizing the data of 26 domestic banks in Vietnam and employing the value-added intellectual coefficient model (VAIC) as the measure of IC efficiency, our empirical evidence manifests that IC plays a vital role in fostering non-interest incomes of banks. When dividing VAIC into different components, we find that structure capital employed (SCE) is the most important component to enhance the expansion of these incomes compared with other components including capital employed efficiency (CEE), human capital efficiency (HCE). These findings remain unchanged through some robustness tests performed. While the main driver of IC and SCE, CEE component becomes a substantial advantage to increase non-interest incomes in large banks. Meanwhile, the degree of impact of SCE is higher in small banks compared with large ones. Overall, this study would provide a deep insight into the role of IC in the transformation into non-interest income activities of banks in an emerging country, and therefore our findings would be useful for both scholars and policy-makers in Vietnam, where has undergone the period of major reforms in banking system.

Combined nano-particle drug delivery and physiotherapy in treatment of common injuries in dance-sport

  • Weixin Dong;Gang Lu;Yangling Jiang;Fan Zhou;Xia Liu;Chunxia Lu
    • Advances in nano research
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    • v.15 no.3
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    • pp.225-237
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    • 2023
  • Combination of novel technologies with traditional physiotherapy in rehabilitation in injured athletes have shown to provide improved time of recovery. In specific, nanodrugs delivery systems are widely utilized as a counterpart to the physiotherapy in injuries in sports. In the present study, we focus on the common injuries in dance-sports, their recovery and the effect combination of nano-particle drug delivery with the physiotherapy practices. In this regard, a comprehensive review on the common injuries in dance sport is provided. Moreover, the researches on the effectiveness of the nano-particle drug delivery in therapy of such injuries and in similar cases are provided. The possibility of using combination of nano-particle drug delivery and physiotherapy is discussed in detail. Finally, using artificial intelligence methods, predictions on the recovery time and after-treatment side-effects is investigated. Artificial Neural Network (ANN) predictions suggested that using nano-particle drug delivery systems along with physiotherapy practices could provide shortened treatment time to recovery in comparison to conventional drugs. Moreover, the post-recover effects are less than the conventional methods.

Comparison of long-term forecasting performance of export growth rate using time series analysis models and machine learning analysis (시계열 분석 모형 및 머신 러닝 분석을 이용한 수출 증가율 장기예측 성능 비교)

  • Seong-Hwi Nam
    • Korea Trade Review
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    • v.46 no.6
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    • pp.191-209
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    • 2021
  • In this paper, various time series analysis models and machine learning models are presented for long-term prediction of export growth rate, and the prediction performance is compared and reviewed by RMSE and MAE. Export growth rate is one of the major economic indicators to evaluate the economic status. And It is also used to predict economic forecast. The export growth rate may have a negative (-) value as well as a positive (+) value. Therefore, Instead of using the ReLU function, which is often used for time series prediction of deep learning models, the PReLU function, which can have a negative (-) value as an output value, was used as the activation function of deep learning models. The time series prediction performance of each model for three types of data was compared and reviewed. The forecast data of long-term prediction of export growth rate was deduced by three forecast methods such as a fixed forecast method, a recursive forecast method and a rolling forecast method. As a result of the forecast, the traditional time series analysis model, ARDL, showed excellent performance, but as the time period of learning data increases, the performance of machine learning models including LSTM was relatively improved.

Improved Cycle GAN Performance By Considering Semantic Loss (의미적 손실 함수를 통한 Cycle GAN 성능 개선)

  • Tae-Young Jeong;Hyun-Sik Lee;Ye-Rim Eom;Kyung-Su Park;Yu-Rim Shin;Jae-Hyun Moon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.908-909
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    • 2023
  • Recently, several generative models have emerged and are being used in various industries. Among them, Cycle GAN is still used in various fields such as style transfer, medical care and autonomous driving. In this paper, we propose two methods to improve the performance of these Cycle GAN model. The ReLU activation function previously used in the generator was changed to Leaky ReLU. And a new loss function is proposed that considers the semantic level rather than focusing only on the pixel level through the VGG feature extractor. The proposed model showed quality improvement on the test set in the art domain, and it can be expected to be applied to other domains in the future to improve performance.

Automatic Detection of Dead Trees Based on Lightweight YOLOv4 and UAV Imagery

  • Yuanhang Jin;Maolin Xu;Jiayuan Zheng
    • Journal of Information Processing Systems
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    • v.19 no.5
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    • pp.614-630
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    • 2023
  • Dead trees significantly impact forest production and the ecological environment and pose constraints to the sustainable development of forests. A lightweight YOLOv4 dead tree detection algorithm based on unmanned aerial vehicle images is proposed to address current limitations in dead tree detection that rely mainly on inefficient, unsafe and easy-to-miss manual inspections. An improved logarithmic transformation method was developed in data pre-processing to display tree features in the shadows. For the model structure, the original CSPDarkNet-53 backbone feature extraction network was replaced by MobileNetV3. Some of the standard convolutional blocks in the original extraction network were replaced by depthwise separable convolution blocks. The new ReLU6 activation function replaced the original LeakyReLU activation function to make the network more robust for low-precision computations. The K-means++ clustering method was also integrated to generate anchor boxes that are more suitable for the dataset. The experimental results show that the improved algorithm achieved an accuracy of 97.33%, higher than other methods. The detection speed of the proposed approach is higher than that of YOLOv4, improving the efficiency and accuracy of the detection process.

Structure of Chloro bis(1,10-phenanthroline)Cobalt(II) Complex, [Co(phen)2(Cl)(H2O)]Cl·2H2O

  • Pu Su Zhao;Lu De Lu;Fang Fang Jian
    • Journal of the Korean Chemical Society
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    • v.47 no.4
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    • pp.334-338
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    • 2003
  • The crystal structure of $[Co(phen)_2(Cl)(H_2O)] Clㆍ2H_2O$(phen=1,10-phenanthroline) has been determined by X-ray crystallography. It crystallizes in the triclinic system, space group P1, with lattice parameters a=9.662(2), b=11.445(1), c=13.037(2)${\AA}$ ${\alpha}$=64.02(1), ${\beta}$=86.364(9), ${\gamma}=78.58(2)^°$, and Z=2. The coordinated cations contain a six-coordinated cobalt atom chelated by two phen ligands and one chloride anion and one water ligand in cis arrangement. In addition to the chloride coordinated to the cobalt, there are one chloride ion and four water molecules which complete the crystal structure. In the solid state, the title compound forms three dimensional network structure through hydrogen bonds, within which exists the strongest hydrogen bond (O(3)-O(4)=2.33${\AA}$). The intermolecular hydrogen bonds connect the $[Co(phen)_2(Cl)(H_2O)]1+,\;H_2O$ moieties and chloride ion.

Effects of Sa-am Acupuncture Treatment on a ALS(Amyotrophic Lateral Sclerosis) Patient (근위축성 측삭 경화증 환자 1례를 대상으로 한 사암침법의 효과)

  • Lee, Sang-Mi;Kim, Sung-Ha;Jeong, Ho-Hyun;Park, Man-Yong;Lee, Jeong-Ju;Park, Ok-Ju;Lim, Jin-Young;Kim, Dong-Woung;Song, Bong-Keun;Kim, Sung-Chul
    • Journal of Acupuncture Research
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    • v.29 no.5
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    • pp.187-195
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    • 2012
  • Objectives : Amyotrophic lateral sclerosis(ALS) is a progressive and incurable disease that causes degeneration of the motor neurons of the brain stem and spinal cord. The purpose of this study was to report the effectiveness of Sa-am acupuncture treatment on ALS patient. Methods : Following the stabilization period, a ALS patient respiratory figures(Et $C_{O2}$, Sp $_{O2}$, RR, pulse) were measured by using capnography & pulse oximetry for 30 minutes before acupuncture treatment. Acupuncture treatment such as lung tonification($SP_3(+){\cdot}LU_9(+){\cdot}HT_8(-){\cdot}LU_{10}(-)$), heart tonification($HT_9(+){\cdot}LR_1(+){\cdot}SI_8(-){\cdot}KI_{10}(-)$), liver tonification ($KI_{10}(+){\cdot}LR_8(+){\cdot}LU_8(-){\cdot}LR_4(-)$) were conducted for 5 days. Each Sa-am acupuncture treatment conducted at AM 7 : 00, AM 11 : 00, PM 4 : 30 of the day. During acupuncture treatment, the patient respiratory figures were measured equally for 30 minutes. The patient was treated by using Dong-bang acupuncture needles($0.30{\times}4.0$) and also stimulated using infra red. Results : The value of Et $C_{O2}$ has decreased more after Sa-am acupuncture lung tonification treatment than others. The value of pulse has decreased more after Sa-am acupuncture heart tonification treatment than others. The value of raspiration rate has decreased more after Sa-am acupuncture liver tonification treatment than others. And the value of Sp $O_2$ has increased more after Sa-am acupuncture liver tonification treatment than others. Conclusions : Although this study was subject to a few limitations, but it shows that Sa-am acupuncture treatment for ALS patients has a meaningful effect. This study needs to be developed further using a larger sample size to obtain more valuable and meaningful data.