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THE USE OF SEAWEED MEAL IN FEEDING COMMON CARP (Cyprinus carpio L.)

  • Zaki, M.A.;Nour, A.M.;Omar, E.;Tag El-Din, A.E.
    • Asian-Australasian Journal of Animal Sciences
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    • 제7권2호
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    • pp.183-189
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    • 1994
  • Two experiments were made. In experiment 1, four diets containing 0, 5, 15 and 25% washed seaweed meal were prepared to study the effects of incorporating seaweed meal instead of equivalent amounts of berseem leaf meal in fish feeds on growth performance and feed utilization of common carp. The results showed that average daily gain (ADG), specific growth rate (SGR%), dry matter (DM) and ether extract (EE) of the carcasses were decreased (p<0.05) with the increasing level of seaweed meal in the feeds. Inclusion of 5% seaweed meal in the diet gave the best feed conversion ratio (FCR) among all diets, however, protein productive value (PPV) and energy utilization (EU) were decreased (p<0.05) with increasing level of seaweed meal in the diet. In experiment 2, washed seaweed meal was either steam cooked or sprayed with NaOH (0.5% or 1% NaOH) and incorporated in the diets at the level of 25% instead of equivalent amount of berseem leaf meal. The results showed that steam cooked seaweed gave the best (p<0.05) growth performance, FCR and protein efficiency ratios, PER and PPV, for other treatments in descending order were NaOH treated seaweed, washed seaweed and unwashed seaweed.

Precise spectral analysis using a multiple band-pass filter for flash-visual evoked potentials

  • Asano, Fumitaka;Shimoyama, Ichiro;Kasagi, Yasufumi;Lopez, Alex
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 한국감성과학회 2002년도 춘계학술대회 논문집
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    • pp.44-50
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    • 2002
  • The fast Fourier transform (FFT) is a good method to estimate spectral density, but the frequency resolution is limited to the sampling window, and thus the precise characteristics of the spectral density for short signals are not clear. To solve the limitation, a multiple band-pass filter was introduced to estimate the precise time course of the spectral density for flash visual evoked potentials (VEPs). Signals were recorded during -200 and 600 ms using balanced noncephalic electrodes, and sampled at 1 K Hz in 12 bits. With 1 Hz and 10 ms resolutions, spectral density was estimated between 10 and 100 Hz. Background powers at the alpha-and beta-bands were high over the posterior scalp, and powers around 200ms were evoked at the same bands over the same region, corresponding to P110 and N165 of VEPs. normalized's spectral density showed evoked powers around 200 ms and suppressed powers following the evoked powers over the posterior scalp. The evoked powers above the 20Hz band were not statistically significant. However, the gamma band was significantly evoked intra-individually; details in the gamma bands were varied among the subjects. Details of spectral density were complicated even for a simple task such as watching flashes; both synchronization and desynchronization occurred with different distributions and different time courses.

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Efficient Inter Prediction Mode Decision Method for Fast Motion Estimation in High Efficiency Video Coding

  • Lee, Alex;Jun, Dongsan;Kim, Jongho;Choi, Jin Soo;Kim, Jinwoong
    • ETRI Journal
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    • 제36권4호
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    • pp.528-536
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    • 2014
  • High Efficiency Video Coding (HEVC) is the most recent video coding standard to achieve a higher coding performance than the previous H.264/AVC. In order to accomplish this improved coding performance, HEVC adopted several advanced coding tools; however, these cause heavy computational complexity. Similar to previous video coding standards, motion estimation (ME) of HEVC requires the most computational complexity; this is because ME is conducted for three inter prediction modes - namely, uniprediction in list 0, uniprediction in list 1, and biprediction. In this paper, we propose an efficient inter prediction mode (EIPM) decision method to reduce the complexity of ME. The proposed EIPM method computes the priority of all inter prediction modes and performs ME only on a selected inter prediction mode. Experimental results show that the proposed method reduces computational complexity arising from ME by up to 51.76% and achieves near similar coding performance compared to HEVC test model version 10.1.

Virtual ARM Machine for Embedded System Development (임베디드 시스템의 가상 ARM 머신의 개발)

  • Lee, So-Jin;An, Young-Ho;Han, Alex H;Hwang, Young-Si;Chung, Ki-Seok
    • IEMEK Journal of Embedded Systems and Applications
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    • 제3권1호
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    • pp.19-24
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    • 2008
  • To reduce time-to-market, more and more embedded system developers and system-on-chip designers rely on microprocessor-based design methodology. ARM processor has been a major player in this industry over the last 10 years. However, there are many restrictions on developing embedded software using ARM processor in the early design stage. For those who are not familiar with embedded software development environment or who cannot afford to have an expensive embedded hardware equipment, testing their software on a real ARM hardware platform is a challenging job. To overcome such a problem, we have designed VMA (Virtual ARM Machine), which offers easier testing and debugging environment to ARM based embedded system developers. Major benefits that can be achieved by utilizing a virtual ARM platform are (1) reducing development cost, (2) lowering the entrance barrier for embedded system novices, and (3) making it easier to test and debug embedded software designs. Unlike many other purely software-oriented ARM simulators which are independent of real hardware platforms, VMA is specifically targeted on SYS-Lab 5000 ARM hardware platform, (designed by Libertron, Inc.), which means that VMA imitates behaviors of embedded software as if the software is running on the target embedded hardware as closely as possible. This paper will describe how VMA is designed and how VMA can be used to reduce design time and cost.

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Redox Regulation of Apoptosis before and after Cytochrome C Release

  • Chen, Quan;Crosby, Meredith;Almasan, Alex
    • Animal cells and systems
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    • 제7권1호
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    • pp.1-9
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    • 2003
  • Programmed cell death, or apoptosis, is one of the most studied areas of modern biology. Apoptosis is a genetically regulated process, which plays an essential role in the development and homeostasis of higher organisms. Mitochondria, known to play a central role in regulating cellular metabolism, was found to be critical for regulating apoptosis induced under both physiological and pathological conditions. Mitochondria are a major source of reactive oxygen species (ROS) but they can also serve as its target during the apoptosis process. Release of apoptogenic factors from mitochondria, the best known of which is cytochrome c, leads to assembly of a large apoptosis-inducing complex called the apoptosome. Cysteine pretenses (called caspases) are recruited to this complex and, following their activation by proteolytic cleavage, activate other caspases, which in turn target for specific cleavage a large number of cellular proteins. The redox regulation of apoptosis during and after cytochrome c release is an area of intense investigation. This review summarizes what is known about the biological role of ROS and its targets in apoptosis with an emphasis on its intricate connections to mitochondria and the basic components of cell death.

Democratic Leadership Practice to Construct Clan Organizational Culture in Family Companies

  • FAKHRI, Mahendra;SYARIFUDDIN, Syarifuddin;WINARNO, Alex;NURNIDA, Ida;HANUM, Syarifa
    • The Journal of Asian Finance, Economics and Business
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    • 제8권1호
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    • pp.803-811
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    • 2021
  • A family business is a company where most of its capital and the management position is owned by family members (clan). The leader plays an important role in defining an organization, thus influencing the organization's success. A leader who has a leadership style based on family (clan) relation has the facilitator's role when conflict appears within the organization. This research aims to find the impact of the democratic leadership model on a family business that adopts the clan cultural organization. The independent variable of this research is the democratic leadership model. Meanwhile, the dependent variable is the clan culture within the organization. This research uses a quantitative method with a descriptive and causality type of research. This research population is PT Global Avionika Indonesia staff, where the data was acquired by distributing questionnaires using a saturated sampling technique. The finding in this research shows a positive and significant impact of the democratic leadership model on the clan culture within the organization PT Global Avionika. The determination test also points out that democratic leadership models affect 19.8 percent of the clan culture within the organization, and the rest of 80.2 percent were affected by other factors that were not covered in this research.

Developing a Solution to Improve Road Safety Using Multiple Deep Learning Techniques

  • Humberto, Villalta;Min gi, Lee;Yoon Hee, Jo;Kwang Sik, Kim
    • International Journal of Internet, Broadcasting and Communication
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    • 제15권1호
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    • pp.85-96
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    • 2023
  • The number of traffic accidents caused by wet or icy road surface conditions is on the rise every year. Car crashes in such bad road conditions can increase fatalities and serious injuries. Historical data (from the year 2016 to the year 2020) on weather-related traffic accidents show that the fatality rates are fairly high in Korea. This requires accurate prediction and identification of hazardous road conditions. In this study, a forecasting model is developed to predict the chances of traffic accidents that can occur on roads affected by weather and road surface conditions. Multiple deep learning algorithms taking into account AlexNet and 2D-CNN are employed. Data on orthophoto images, automatic weather systems, automated synoptic observing systems, and road surfaces are used for training and testing purposes. The orthophotos images are pre-processed before using them as input data for the modeling process. The procedure involves image segmentation techniques as well as the Z-Curve index. Results indicate that there is an acceptable performance of prediction such as 65% for dry, 46% for moist, and 33% for wet road conditions. The overall accuracy of the model is 53%. The findings of the study may contribute to developing comprehensive measures for enhancing road safety.

Paralytic Ileus Secondary to Electrolyte Imbalance: A Case Study in a 16 Year Old Female

  • OKAFOR, Henry Chukwuemeka;IKPEAMA, Osita John;OKAFOR, Jane Nkechinyere;OKAFOR, Rita Ifeyinwa
    • The Korean Journal of Food & Health Convergence
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    • 제8권1호
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    • pp.17-20
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    • 2022
  • Paralytic ileus is a metabolic state in which the intestines fail to transmit peristalsis due to failure of the neuromuscular mechanism in the small intestines and colon. It is a major cause of morbidity in hospitalized patients especially during late presentations and points of mismanagement. The causes include infections, electrolyte imbalance (hypokalemia, hyponatremia), surgeries and medications. When the exact cause of the disease condition is identified and corrected, paralytic ileus is usually resolved. This case report is that of a 16 year old female who was admitted and managed as a case of paralytic ileus. The patient presented with symptoms of fever, abdominal pain, abdominal distension, vomiting and inability to pass stool or flatus. There was associated body weakness, reduced urine output and weight loss. She was properly examined clinically and sent for various investigations. Investigations such plain abdominal X-Ray, serum electrolyte estimation, chest X-Ray and full blood count were carried out. The results of the investigations done were in keeping with the diagnosis of paralytic ileus, electrolyte imbalance and ongoing sepsis. She was subsequently managed through nil per oral, adequate fluid rehydration, antibiotics and correction of electrolyte imbalance. Following stable clinical state and investigation results, she was discharged and advised on follow-up.

Chain Transfer to Monomer and Polymer in the Radical Polymerization of Vinyl Neo-decanoate

  • Balic, Robert;Fellows, Christopher M.;Van Herk, Alex M.
    • Macromolecular Research
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    • 제12권4호
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    • pp.325-335
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    • 2004
  • Molecular weight distributions of poly(vinyl neo-decanoate) produced by the bulk polymerization of the monomer to low conversions were investigated to obtain values of the rate constants for the chain transfer to monomer ( $C_{M}$). The value of $C_{M}$ of 7.5($\pm$0.6)${\times}$10$^{-4}$ was obtained from a logarithmic plot of the number distribution at 5,25, and 5$0^{\circ}C$, which suggests that the activation energy for chain transfer is on the order of 20-25 kJ ㏖$^{-1}$ . These plots were linear between the number and weight-average degrees of polymerization, but not over the whole molecular weight range for which a significant signal was observed in the gel permeation chromatography (GPC) trace. Modeling suggests that the deviations observed at high molecular weights can be explained by branching of the chains through chain transfer to the polymer, with a branching density as low as 10$^{-5}$ , without affecting the slope at low values of the number of monomer unit, N. This deviation from the expected distribution of linear chains was used to estimate the branching densities at low conversion.ion.

Prediction of Laser Process Parameters using Bead Image Data (비드 이미지 데이터를 활용한 레이저 공정변수 예측)

  • Jeon, Ye-Rang;Choi, Hae-Woon
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • 제21권6호
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    • pp.8-14
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    • 2022
  • In this study reports experiments were conducted to determine the quality of weld beads of different materials, Al and Cu. Among the lasers used to make battery cells for electric vehicles, non-destructive testing was performed using deep learning to determine the quality of beads welded with the ARM laser. Deep learning was performed using AlexNet algorithm with a convolutional neural network structure. The results of quality identification were divided into good and bad, and the result value was derived that all the results were in agreement with 94% or more. Overall, the best welding quality was obtained in the experiment for the fixed ring beam output/variable center beam output, in the case of the fixed beam (ring beam) 500W and variable beam (center beam) 1,050W; weld bead failure was seldom observed. The tensile force test to confirm the reliability of welding reported an average tensile force of 2.5kgf/mm or more in all sections.