• Title/Summary/Keyword: performance objective

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Long-term outcome of delayed neuropsychiatric sequelae after carbon monoxide poisoning (일산화탄소중독에서 지연신경정신장애의 장기적인 예후)

  • Yoo, Joo Young;Kim, Gap Teog;Koh, Chan Young
    • Journal of The Korean Society of Emergency Medicine
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    • v.29 no.5
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    • pp.519-528
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    • 2018
  • Objective: Delayed neuropsychiatric sequelae (DNS) following carbon monoxide (CO) poisoning, which may result from a demyelinating leukoencephalopathy, is a disease with a poor prognosis. This study examined the factors affecting the long-term prognosis of DNS and the efficacy of hyperbaric oxygen therapy (HBOT) in patients with DNS. Methods: This retrospective study included 84 patients with DNS following CO poisoning from January 2013 to June 2016. HBOT was given to 24 patients. The patients were divided into an improvement group and non-improvement group based on their clinical condition on a telephone interview at intervals between 3 months and 3 years after the onset of DNS. The improvement group was defined as having Cerebral Performance Category (CPC) scores in their daily life that improve to 1 or 2 grade. Results: Of the 594 patients, DNS were found in 18.2%, and 70.2% (59 of 84) of the patients with DNS improved. The prognostic factors for the improvement of DNS were an age of 45 years or less (odds ratio [OR], 12.068; 95% confidence interval [CI], 2.393-60.858; P<0.005), CPC score of 1 or 2 group at the time of DNS onset (OR, 12.361; 95% CI, 3.161-48.330; P<0.005), and a lucid interval longer than 20 days (OR, 5.164; 95% CI, 1.393-19.141; P<0.01). HBOT was not associated with the improvement of DNS in CO poisoning (OR, 0.467; 95% CI, 0.172-1.269; P>0.1). Conclusion: Patients aged less than 45 years, low grade CPC score of 1 and 2, and lucid interval longer than 20 days are more likely to have a good prognosis. On the other hand, HBOT failed to produce a benefit for DNS patients.

Study of Oral Microbial Prevalence and Oral Health in Adults

  • Moon, Kyung-Hui;Lee, Jin-Young;Kang, Yong-Ju
    • International Journal of Clinical Preventive Dentistry
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    • v.14 no.4
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    • pp.264-270
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    • 2018
  • Objective: This study performed a quantitative analysis using the real-time polymerase chain reaction technique to examine the oral microbial prevalence in adults and intended to examine the correlations between risk factors of periodontal disease and oral bacteria and correlation between oral test scores and oral microorganisms. Methods: We examined papillary marginal attached (PMA) index, modified patient hygiene performance (M-PHP) index, probing depth (PD), modified gingival index, and oral bacteria counts and surveyed 117, 20 years or older adult males and females who visited dental clinics in the Daejeon region to analyze the prevalence and oral health. Results: The prevalence was 100% for Fusobacterium nucleatum, meaning it was observed in all examined subject, 85.5% for Parvimonas micra, 76.1% for Prevotella intermedia, and 72.6% for Tannerella forsythia. The averages of P. gingivalis and T. forsythia increased as the examined subjects were older, and there was a statistically significant difference between T. forsythia and E. nodatum in relation to medical history, between P. intermedia and P. micra in relation to gender, and between P. intermedia and E. corrodens in relation to smoking (p<0.05). For a correlation between the oral test scores and oral microorganisms, P. gingivalis and F. nucleatum was highly correlated with PD (correlation coefficient of 0.51 and 0.41) (p<0.01) while P. gingivalis, P. micra, C. rectus, and E. nodatum were significantly correlated with M-PHP index, gingival index, PD, and PMA index (p<0.01, p<0.05). Conclusion: For oral health management of adults, the age, systemic disease, and smoking are closely related to oral bacteria, and P. gingivalis, T. forsythia, F. nucleatum, P. intermedia, P. micra, C. rectus, E. corrodens, and E. nodatum are considered to be the oral microorganisms that indicate periodontal health.

Lifesaver: Android-based Application for Human Emergency Falling State Recognition

  • Abbas, Qaisar
    • International Journal of Computer Science & Network Security
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    • v.21 no.8
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    • pp.267-275
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    • 2021
  • Smart application is developed in this paper by using an android-based platform to automatically determine the human emergency state (Lifesaver) by using different technology sensors of the mobile. In practice, this Lifesaver has many applications, and it can be easily combined with other applications as well to determine the emergency of humans. For example, if an old human falls due to some medical reasons, then this application is automatically determining the human state and then calls a person from this emergency contact list. Moreover, if the car accidentally crashes due to an accident, then the Lifesaver application is also helping to call a person who is on the emergency contact list to save human life. Therefore, the main objective of this project is to develop an application that can save human life. As a result, the proposed Lifesaver application is utilized to assist the person to get immediate attention in case of absence of help in four different situations. To develop the Lifesaver system, the GPS is also integrated to get the exact location of a human in case of emergency. Moreover, the emergency list of friends and authorities is also maintained to develop this application. To test and evaluate the Lifesaver system, the 50 different human data are collected with different age groups in the range of (40-70) and the performance of the Lifesaver application is also evaluated and compared with other state-of-the-art applications. On average, the Lifesaver system is achieved 95.5% detection accuracy and the value of 91.5 based on emergency index metric, which is outperformed compared to other applications in this domain.

Using Tower Flux Data to Assess the Impact of Land Use and Land Cover Change on Carbon Exchange in Heterogeneous Haenam Cropland (비균질한 해남 농경지의 탄소교환에 미치는 토지사용 및 피복변화의 영향에 대한 미기상학 자료의 활용에 관하여)

  • Indrawati, Yohana Maria;Kang, Minseok;Kim, Joon
    • Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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    • 2013.11a
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    • pp.30-31
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    • 2013
  • Land use and land cover change (LULCC) due to human activities directly affects natural systems and contributes to changes in carbon exchange and climate through a range of feedbacks. How land use and land cover changes affect carbon exchanges can be assessed using multiyear measurement data from micrometeorological flux towers. The objective of the research is to assess the impact of land use and land cover change on carbon exchange in a heterogeneous cropland area. The heterogeneous cropland area in Haenam, South Korea is also subjected to a land conversion due to rural development. Therefore, the impact of the change in land utilization in this area on carbon exchange should be assessed to monitor the cycle of energy, water, and carbon dioxide between this key agricultural ecosystem and the atmosphere. We are currently conducting the research based on 10 years flux measurement data from Haenam Koflux site and examining the LULCC patterns in the same temporal scale to evaluate whether the LULCC in the surrounding site and the resulting heterogeneity (or diversity) have a significant impact on carbon exchange. Haenam cropland is located near the southwestern coast of the Korean Peninsula with land cover types consisting of scattered rice paddies and various croplands (seasonally cultivated crops). The LULCC will be identified and quantified using remote sensing satellite data and then analyzing the relationships between LULCC and flux footprint of $CO_2$ from tower flux measurement. We plan to calculate annual flux footprint climatology map from 2003 to 2012 from the 10 years flux observation database. Eventually, these results will be used to quantify how the system's effective performance and reserve capacity contribute to moving the system towards more sustainable configuration. Broader significance of this research is to understand the co-evolution of the Haenam agricultural ecosystem and its societal counterpart which are assumed to be self-organizing hierarchical open systems.

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Metabolic profile according to the parity and stage of lactation of high-performance Holstein-Friesian cows

  • Kuczynska, Beata;Puppel, Kamila;Golebiewski, Marcin;Wisniewski, Konrad;Przysucha, Tomasz
    • Animal Bioscience
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    • v.34 no.4
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    • pp.575-583
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    • 2021
  • Objective: The aim of the study was to determine the effect of parity and the stage of lactation on the metabolic profile of cows based on the basic chemical milk components and the blood parameters. Methods: The study material consisted of high-yielding Holstein-Friesian cows. In total, 473 cows were examined. According to the parity, cows were divided into four groups: primiparous (P), and multiparous in the second (M2), in the third (M3), and in subsequent lactations (M4). The feeding of cows was based on total mixed ration (TMR) ad libitum. Milk and blood samples were collected individually from each cow three times per standard lactation period. Results: Greater exacerbation of changes in the dynamics of the blood plasma parameters examined was proved for multiparous cows. The highest value of β-hydroxybutyrate acid (0.946 mmol/L) was found for multiparous cows from group M3 at the beginning of lactation. However, it was still in the normal range. The results showed aspartate aminotransferase, and gamma-glutamyl transferase (GGT) activities in dairy cows during lactation had significant variations taking in to account stage of lactation. The highest activity of GGT was found in the group of the oldest cows and measured from 26.36 U/L at the beginning of lactation to 48.75 U/L at the end of the lactation period. Conclusion: The time-related changes in the concentrations of the biochemical parameters described differ markedly among lactating cows, though the housing conditions on the research dairy farm are highly standardised. This indicates that the ability to cope with metabolic stress is mainly affected by the individual predispositions of cows and feed nutrient supply in different stage of lactation. Especially, the feed nutrient supply (in net energy for lactation), which was the best in TMR 1 in comparison TMR 3.

Study on the quality assessment of Liquidambaris Storax (소합향(蘇合香)의 규격 설정을 위한 연구)

  • Kim, Jung-Hoon;Lee, Guemsan;Lee, Seung-Ho;Ju, Young-Sung
    • The Korea Journal of Herbology
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    • v.36 no.1
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    • pp.87-95
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    • 2021
  • Objective : Liquidambaris Storax, the processed resin of Liquidambar orientalis Mill., has been therapeutically used as orifice-opening medicinals in Korean Medicine. However, unauthenticated resinous drugs from various origins were sold as Liquidambaris Storax. This study aimed to establish the quality assessment of genuine Liquidambaris Storax and to provide quantitative differences of Liquidambaris Storax in herbal markets. Methods : Bibliographic research on ancient Liquidambaris Storax was performed using classic books of herbology. The quality assessment was approached by searching modern books of herbal medicines. The marker compounds in Liquidambaris Storax from various origins were quantitatively analyzed using high-performance liquid chromatography. Results : L. orientalis was botanically characterized by palmately 5-lobed shape of leaves. Genuine Liquidambaris Storax was recognized as resinous or semi-solid form (ancient―Song dynasty) to liquid form (Myeong/Cheong dynasty) and two processed forms were available in current markets. Genuine liquid Liquidambaris Storax should be lengthened as a thread when it was lifted by a stick and be sunken under the water. The crystals of cinnamic acid was seen under microscopic observation and the scent of benzaldehyde occurred after the treatment with potassium permanganate. Cinnamyl alcohol, cinnamic acid, and cinnamaldehyde were quantified in two liquid samples of Liquidambaris Storax, while cinnamaldehyde was not quantified in resinous (semi-solid) sample. Conclusion : This study presents the detailed methods of quality assessment for genuine Liquidambaris Storax as well as the status in the herbal markets. Further quantitative study with diverse samples is required to establish the quality standard of Liquidambaris Storax.

Building Detection by Convolutional Neural Network with Infrared Image, LiDAR Data and Characteristic Information Fusion (적외선 영상, 라이다 데이터 및 특성정보 융합 기반의 합성곱 인공신경망을 이용한 건물탐지)

  • Cho, Eun Ji;Lee, Dong-Cheon
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.38 no.6
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    • pp.635-644
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    • 2020
  • Object recognition, detection and instance segmentation based on DL (Deep Learning) have being used in various practices, and mainly optical images are used as training data for DL models. The major objective of this paper is object segmentation and building detection by utilizing multimodal datasets as well as optical images for training Detectron2 model that is one of the improved R-CNN (Region-based Convolutional Neural Network). For the implementation, infrared aerial images, LiDAR data, and edges from the images, and Haralick features, that are representing statistical texture information, from LiDAR (Light Detection And Ranging) data were generated. The performance of the DL models depends on not only on the amount and characteristics of the training data, but also on the fusion method especially for the multimodal data. The results of segmenting objects and detecting buildings by applying hybrid fusion - which is a mixed method of early fusion and late fusion - results in a 32.65% improvement in building detection rate compared to training by optical image only. The experiments demonstrated complementary effect of the training multimodal data having unique characteristics and fusion strategy.

Extraction of Intestinal Obstruction in X-Ray Images Using PCM (PCM 클러스터링을 이용한 X-Ray 영상에서 장폐색 추출)

  • Kim, Kwang Baek;Woo, Young Woon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.12
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    • pp.1618-1624
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    • 2020
  • Intestinal obstruction diagnosis method based on X-ray can affect objective diagnosis because it includes subjective factors of the examiner. Therefore, in this paper, a detection method of Intestinal Obstruction from X-Ray image using Hough transform and PCM is proposed. The proposed method uses Hough transform to detect straight lines from the extracted ROI of the intestinal obstruction X-Ray image and bowel obstruction is extracted by using air fluid level's morphological characteristic detected by the straight lines. Then, ROI is quantized by applying PCM clustering algorithm to the extracted ROI. From the quantized ROI, cluster group that includes bowel obstruction's characteristic is selected and small bowel regions are extracted by using object search from the selected cluster group. The proposed method of using PCM is applied to 30 X-Ray images of intestinal obstruction patients and setting the initial cluster number of PCM to 4 showed excellent performance in detection and the TPR was 81.47%.

A Review of the Neuroprotective Effects of Cinnamon in Experimental Studies on Parkinson's Disease (파킨슨병 관련 실험 연구에서 육계의 신경 보호효과에 대한 고찰)

  • Heo, Hyemin;Han, Juhee;Jeong, Minjeong;Kim, Hongjun;Jang, Insoo
    • The Journal of Internal Korean Medicine
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    • v.41 no.6
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    • pp.1089-1099
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    • 2020
  • Objective: The purpose of this study was to investigate the effect of cinnamon on the treatment of Parkinson's disease (PD) and to introduce its use in Korea. Method: We searched the experimental studies in electronic databases (PubMed, CNKI, Wanfang, CiNii, J-STAGE, Science ON, and OASIS) using the key search terms "cinnamic acid", "cinnamon", "cinnamomum", "Parkinson's disease", "Parkinson disease", "Parkinsonism", and "dopamine". This study only involved experimental studies (in vivo and in vitro) that adopted cinnamon as a single administration and measured indicators relating to Parkinson's disease, including parkin, tyrosine hydroxylase (TH), and dopamine. Results: A Total of 11 literature studies were selected, and they all showed that treatment with cinnamon has a neuroprotective effect. Cinnamon activated neuroprotective factors and restored neurotransmitters and it reduced the rate of oxidative stress and inflammation in neurons. As a result, cell viability was upregulated, while cell apoptosis and neurodegeneration were downregulated. Five in vivo studies, through behavioral tests, also confirmed that cinnamon recovers locomotor function in PD models. Conclusion: We identified that cinnamon is an effective neural protector and improves motor performance in behavioral testing in the experimental PD studies.

Reasons influencing the preferences of prospective patients and orthodontists for different orthodontic appliances

  • Maranon-Vasquez, Guido Artemio;Barreto, Luisa Schubach da Costa;Pithon, Matheus Melo;Nojima, Lincoln Issamu;Nojima, Matilde da Cunha Goncalves;Araujo, Monica Tirre de Souza;de Souza, Margareth Maria Gomes
    • The korean journal of orthodontics
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    • v.51 no.2
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    • pp.115-125
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    • 2021
  • Objective: To evaluate the reasons influencing the preferences for a certain type of orthodontic appliance over another among prospective patients (PP) and orthodontists. Methods: A total of 49 PP and 51 orthodontists were asked about their preferences for the following appliances: clear aligners (CA), lingual metallic brackets (LMB), polycrystalline and monocrystalline ceramic brackets, and buccal metallic brackets (BMB). The participants rated the importance of 17 potential reasons that would explain their choices. The reasons that contributed most to these preferences were identified. Non-parametric tests (Fisher's exact, χ2 and Mann-Whitney tests) and multivariate analyses (regression and discriminant analysis) were used to assess the data (α = 0.05). Results: CA and BMB were the most chosen appliances by PP and orthodontists, respectively. LMB was the most rejected option among both groups of participants (p < 0.001). Rates of the importance of pain/discomfort, smile esthetics, finishing details, and feeding/speech impairment showed the highest differences between PP and orthodontists (p < 0.0005). Discriminant analyses showed that individuals who considered treatment time and smile esthetics as more important were more likely to prefer CA, while those who prioritized finishing details and cost were more likely to choose BMB (p < 0.05). Conclusions: Reasons related to comfort and quality of life during use were considered as more important by PP, while those related to the results and clinical performance of the appliances were considered as more relevant by orthodontists.