• Annals of Clinical Neurophysiology
• /
• v.20 no.2
• /
• pp.71-78
• /
• 2018

Nerve conduction study (NCS) is an electrophysiological tool to assess the overall function of cranial and peripheral nervous system, therefore NCS has been diagnostically helpful in the identification and characterization of disorders involving nerve roots, peripheral nerves, muscle and neuromuscular junction, and are frequently accompanied by a needle Electromyography. Furthermore, NCS could provide valuable quantitative and qualitative results into neuromuscular function. Usually, motor, sensory, or mixed nerve studies can be performed with using NCS, stimulating the nerves with the recording electrodes placed over a distal muscle, a cutaneous sensory nerve, or the entire mixed nerve, respectively. And these findings of motor, sensory, and mixed nerve studies often show different and distinct patterns of specific abnormalities indicating the neuromuscular disorders. The purpose of this special article is to review the neurophysiologic usefulness of NCS, to outline the technical factors associated with the performance of NCS, and to demonstrate characteristic NCS changes in the setting of various neuromuscular conditions.

• Journal of Genetic Medicine
• /
• v.6 no.1
• /
• pp.25-37
• /
• 2009

Hereditary peripheral neuropathies can be categorized as hereditary motor and sensory neuropathies (HMSN), hereditary motor neuropathies (HMN), and hereditary sensory neuropathies (HSN). HMSN, HMN, and HSN are further subdivided into several subtypes. Here, we review the most recent findings in the molecular diagnosis and therapeutic strategy for hereditary peripheral neuropathies. The products of genes associated with hereditary peripheral neuropathy phenotypes are important for neuronal structure maintenance, axonal transport, nerve signal transduction, and functions related to the cellular integrity. Identifying the molecular basis of hereditary peripheral neuropathy and studying the relevant genes and their functions is important to understand the pathophysiological mechanisms of these neurodegenerative disorders, as well as the processes involved in the normal development and function of the peripheral nervous system. These advances and the better understanding of the pathogenesis of peripheral neuropathies represent a challenge for the diagnoses and managements of hereditary peripheral neuropathy patients in developing future supportive and curative therapies.

• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
• /
• v.14 no.2
• /
• pp.57-63
• /
• 2008

The effects of airtight containers and zipper bags on the freshness extension of pine nuts (Pinus koraiensis) were studied at 4 and $25^{\circ}C$. Changes in total microbial growth, 2-thiobarbituric acid(TBA), color, and sensory quality were evaluated during storage. Total bacterial counts of the samples continuously increased over 28 days for airtight containers and 56 days for zipper bags, and then decreased at 70 days because the lack of air could affect the inhibition of the aerobic microbial growth. However no significant differences were observed between airtight containers and zipper bags. TBA values continuously increased with storage time, but there were no significant differences between the airtight containers and zipper bags during storage. Color changes and sensory evaluation analyses showed that the data revealed similar results for both packaging systems over the storage time. Therefore, it has been concluded that airtight containers and zipper bags could be used as a good packaging system to extend the shelf life of pine nuts by controlling the microbial growth, but the packaging systems of the airtight containers and the zipper bags was not significantly affect the quality parameters for 2-thiobarbituric acid(TBA), color, and sensory quality.

• International Journal of Oral Biology
• /
• v.30 no.3
• /
• pp.91-98
• /
• 2005

Gamma-aminobutyric acid (GABA) is known as an inhibitory neurotransmitter in the neurons of the central nervous system. However, its detailed action mechanisms in the rostral gustatory zone of the nucleus tractus solitarius (rNTS) have not been established. The present study was aimed to investigate the distribution, role and action mechanisms of GABA in rNTS. Membrane potentials were recorded by whole cell recordings in isolated brain slices of the rat medulla. Superfusion of GABA resulted in a concentration-dependent reduction in input resistance in the neurons in rNTS. The change in input resistance ws accompanied by response to a depolarizing pulse were diminished by GABA. Superfusion of the slices with either $GABA_A$ agonist, muscimol, $GABA_B$ agonist, baclofen or $GABA_C$ agonist, TACA, decreased input resistance and reduced the nerve activity in association with membrane hyperpolarization. It is suggested that inhibitory signals playa role in sensory processing by the rNTS, in that GABA actions occur through activation of $GABA_A,\;GABA_B\;and\;GABA_C$ receptor. These results suggest that GABA has an inhibitory effect on the rNTS through an activation of $GABA_A,\;GABA_B\;and\;GABA_C$ receptors and that the GABAergic inhibition probably plays an important role in sensory processing by the rNTS.

• KIPS Transactions on Software and Data Engineering
• /
• v.5 no.7
• /
• pp.313-318
• /
• 2016

To utilize sensory data, it is necessary to design architecture for processing and handling data generated from sensors in an IoT environment. Especially in the IoT environment, a thing connects to the Internet and efficiently enables to communicate a device with diverse sensors. But Hadoop and Twister based on MapReduce are good at handling data in a batch processing. It has a limitation for processing stream data from a sensor in a motion. Traditional streaming data processing has been mainly applied a MoM based message queuing system. It has maintainability and scalability problems because a programmer should consider details related with complex messaging flow. In this paper architecture is designed to handle sensory data aggregated The designed software architecture is used to operate an application on the open source framework Storm. The application is conceptually used to transform streaming data which aggregated via sensor gateway by pipe-filter style.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.44 no.3
• /
• pp.98-105
• /
• 2021

The sensory stimulation of a cosmetic product has been deemed to be an ancillary aspect until a decade ago. That point of view has drastically changed on different levels in just a decade. Nowadays cosmetic formulators should unavoidably meet the needs of consumers who want sensory satisfaction, although they do not have much time for new product development. The selection of new products from candidate products largely depend on the panel of human sensory experts. As new product development cycle time decreases, the formulators wanted to find systematic tools that are required to filter candidate products into a short list. Traditional statistical analysis on most physical property tests for the products including tribology tests and rheology tests, do not give any sound foundation for filtering candidate products. In this paper, we suggest a deep learning-based analysis method to identify hand cream products by raw electric signals from tribological sliding test. We compare the result of the deep learning-based method using raw data as input with the results of several machine learning-based analysis methods using manually extracted features as input. Among them, ResNet that is a deep learning model proved to be the best method to identify hand cream used in the test. According to our search in the scientific reported papers, this is the first attempt for predicting test cosmetic product with only raw time-series friction data without any manual feature extraction. Automatic product identification capability without manually extracted features can be used to narrow down the list of the newly developed candidate products.

• Asian-Australasian Journal of Animal Sciences
• /
• v.32 no.9
• /
• pp.1448-1457
• /
• 2019

Objective: The present work aimed at evaluating the effects of carcass quality grade (QG) on the quality characteristics of pork meat according to Korean carcass QG system. Methods: Pork carcasses with varying in QG: 1+ (QG1+, n = 10), 1 (QG1, n = 10) and 2 (QG2, n = 10), were used to evaluate the relationship between carcass QG and meat quality. The meat quality traits, fatty acid profiles, flavor compounds and sensory qualities were measured on the longissimus dorsi muscle samples of these carcasses. Results: Pork meat of higher QG (QG1+) presented significantly higher fat content (5.43%), C18:2n-6 level (19.03%) and total unsaturated fatty acids content (62.72%). Also, the QG1+ meat was significantly higher in levels of classes of flavor compounds such as aldehydes, alcohols and hydrocarbons in comparison to those of the meat samples from the lower QG groups. The sensory evaluation results (flavor, juiciness, tenderness, and acceptability scores) of QG1+ meat was significantly higher than the QG1 and QG2 meats. The pork with lower QG (i.e., QG2) was found positively correlated to redness (r = 0.987), C18:1n-9 level (r = 1.000) but negatively correlated to the fat content (r = -0.949), and flavor (r = -0.870), juiciness (r = -0.861), tenderness (r = -0.862) and acceptability (r = -0.815) scores. Conclusion: The pork with higher QG had higher fat content, total unsaturated fatty acids and better eating quality, thus producing pork with higher QGs should be considered in order to satisfy the consumer's expectation.

• Asian-Australasian Journal of Animal Sciences
• /
• v.27 no.5
• /
• pp.683-689
• /
• 2014

This study examined carcass and meat quality parameters in growing/finishing pigs fed unconventionally versus the concentrate-based system. Ninety-six, 12 wk old pigs ($34{\pm}SD0.3kg$) were randomly divided into three groups, assigned to one of the three dietary treatments: standard complete concentrate mixture, conventional (C diet); unconventional, steamed potato-green forage-concentrate based diet (U diet), and unconventional basal diet+herbage mix (UH diet). Pigs fed U diet showed lower dressing percentage, meatiness, loin eye area, and weight of pork neck ($p{\leq}0.05$), but their carcasses were significantly ($p{\leq}0.05$) longer and had increased backfat depth ($p{\leq}0.05$). There was no impact of the diet on the meat content of dry matter, crude ash, acidity, and colour parameters of m. longissimus. Unconventional feeding significantly ($p{\leq}0.05$) elevated water the holding capacity of m. longissimus and slightly improved the sensory attributes analysis of meat. The addition of herbs resulted in increased loin eye area ($p{\leq}0.05$), decreased fat content ($p{\leq}0.05$) in m. longissimus, and tended to improve some sensory attributes of meat. There were significant gender differences in response to all diets. There were significant diet${\times}$sex interactions for some measured variables, but there were no clearly identifiable trends with regard to any specific carcass or meat parameters. Feeding unconventional diet to pigs may offer better culinary attributes of the meat, and improve some technologically important characteristics of pig carcass, but may negatively affect some carcass or meat parameters.

• Fashion & Textile Research Journal
• /
• v.8 no.5
• /
• pp.552-561
• /
• 2006

This study was conducted to suggest an appropriate jacket bodice pattern for elderly women by comparing the developed pattern with existing ready-made jacket pattern. The developed jacket bodice pattern was produced from the basic sloper in which elderly women's somatotype was fully reflected, by using the newly developed 3D pattern design system. Subjects were 6 elderly women aged from 60 to 69 who have average somatotype in their age group. This study carried out pattern analysis and self-sensory test with three ready-made jackets(national brands) and suggested a developed jacket pattern based on the results. According to the self sensory test results of ready-made jacket, wearing fitness among brands was significantly different even though those brands were same B91 size. The results of ready-made jackets' pattern analysis, size differences among patterns have influenced wearing fitness. The basic numerical formula for the jacket pattern considered elderly women's somatotype were as follows; $B/4+2{\pm}0.2{\sim}0.5$(difference of front and back), $W/4+2{\pm}0.2{\sim}0.5$(difference of front and back), H/4+2~7(ease amount), armhole depth B/4, chest width B/6+1, back width B/6+3 and back neck width B/12+0.5. According to the results of the developed jacket's appearance evaluation, it earned higher scores in silhouette and ease amount, confirming that the developed jacket is appropriate for the elderly women. Also, in the evaluation on space length, the developed jacket pattern was evaluated to allow proper space length in all around of measurement parts.

• Journal of Mechanical Science and Technology
• /
• v.20 no.11
• /
• pp.1863-1872
• /
• 2006

In FMS (Flexible Manufacturing System) and CIM (Computer Integrated Manufacturing), machine-tools have been the target of integration in the last three decades. The conventional concept of integration is being changed into the autonomous manufacturing device based on the knowledge evolution by applying advanced information technology in which an open architecture controller, high-speed network and internet technology are included. In the advanced environment, the machine-tools is not the target of integration anymore, but has been the key subject of cooperation. In the near future, machine-tools will be more improved in the form of a knowledge-evolutionary intelligent device. The final goal of this study is to develop an intelligent machine having knowledge-evolution capability and a management system based on internet operability. The knowledge-evolutionary intelligent machine-tools is expected to gather knowledge autonomically, by producing knowledge, understanding knowledge, reasoning knowledge, making a new decision, dialoguing with other machines, etc. The concept of the knowledge-evolutionary intelligent machine is originated from the machine control being operated by human experts' sense, dialogue and decision. The structure of knowledge evolution in M2M (Machine to Machine) and the scheme for a dialogue agent among agent-based modules such as a sensory agent, a dialogue agent and an expert system (decision support agent) are presented in this paper, with intent to develop the knowledge-evolutionary machine-tools. The dialogue agent functions as an interface for inter-machine cooperation. To design the dialogue agent module in an M2M environment, FIPA (Foundation of Intelligent Physical Agent) standard platform and the ping agent based on FIPA are analyzed in this study. In addition, the dialogue agent is designed and applied to recommend cutting conditions and thermal error compensation in a tapping machine. The knowledge-evolutionary machine-tools are expected easily implemented on the basis of this study and shows a good assistance to sensory and decision support agents.