• Title/Summary/Keyword: Response option

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A CASE REPORT OF TRAUMATIC NEUROPATHIC PAIN PATIENT (외상성 신경병증 환자의 치험례)

  • Choi, Moon-Gi
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • v.34 no.2
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    • pp.200-206
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    • 2008
  • A variety of mechanisms may generate pain resulting from injury to the peripheral nervous system. None of these mechanisms is disease-specific, and several different pain mechanisms may be present simultaneously in any one patient. Diagnosis of neuropathic pain is often easily made from the information gathered on neurologic examination and from patient history. Evidence of sensory disturbances elicited by examination combined with laboratory tests confirming injury to peripheral nerve establishes the diagnosis of neuropathic pain. Although treatment of neuropathic pain may be difficult, optimum treatment can be achieved if dentist has a complete understanding of the therapeutic options. Pharmacologic therapy has been the mainstay of treatment. Selection of an appropriate pharmacologic agent is by trial and error since individual response to different agents, doses, and serum level are highly variable. An adequate trial for each agent tried is key to pharmacologic treatment of neuripathic pain. If pharmacologic treatment is not effective, nerve block using lidocaine, steroid and alcohol and neurectomy must be considered for treatment option.

Current approaches of artificial intelligence in breakwaters - A review

  • Kundapura, Suman;Hegde, Arkal Vittal
    • Ocean Systems Engineering
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    • v.7 no.2
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    • pp.75-87
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    • 2017
  • A breakwater has always been an ideal option to prevent shoreline erosion due to wave action as well as to maintain the tranquility in the lagoon area. The effects of the impinging wave on the structure could be analyzed and evaluated by several physical and numerical methods. An alternate approach to the numerical methods in the prediction of performance of a breakwater is Artificial Intelligence (AI) tools. In the recent decade many researchers have implemented several Artificial Intelligence (AI) tools in the prediction of performance, stability number and scour of breakwaters. This paper is a comprehensive review which serves as a guide to the current state of the art knowledge in application of soft computing techniques in breakwaters. This study aims to provide a detailed review of different soft computing techniques used in the prediction of performance of different breakwaters considering various combinations of input and response variables.

Comparative analysis of different battery cells to identify optimal one for Railway Propulsion Systems (철도 추진 시스템을위한 최적의 배터리 셀 식별을 위한 다양한 배터리 셀의 비교 분석)

  • Abbas, Mazhar;Cho, Inho;Kim, Jonghoon
    • Proceedings of the KIPE Conference
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    • 2018.11a
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    • pp.123-124
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    • 2018
  • Fast response, regenerative energy capturing and commercial maturity of battery characterize it as the best complementary source for hybrid Railway propulsion systems (HRPSs). Although all batteries which have been commercialized do exhibit these features, but on the band of comparative performance and optimization facilitation for HRPSs, every battery occupy different level. This paper is intended to identify the determinants of the performance level in order to select the best option among batteries for HRPSs.

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Adaptive Digital Predictive Peak Current Control Algorithm for Buck Converters

  • Zhang, Yu;Zhang, Yiming;Wang, Xuhong;Zhu, Wenhao
    • Journal of Power Electronics
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    • v.19 no.3
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    • pp.613-624
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    • 2019
  • Digital current control techniques are an attractive option for DC-DC converters. In this paper, a digital predictive peak current control algorithm is presented for buck converters that allows the inductor current to track the reference current in two switching cycles. This control algorithm predicts the inductor current in a future period by sampling the input voltage, output voltage and inductor current of the current period, which overcomes the problem of hardware periodic delay. Under the premise of ensuring the stability of the system, the response speed is greatly improved. A real-time parameter identification method is also proposed to obtain the precision coefficient of the control algorithm when the inductance is changed. The combination of the two algorithms achieves adaptive tracking of the peak inductor current. The performance of the proposed algorithms is verified using simulations and experimental results. In addition, its performance is compared with that of a conventional proportional-integral (PI) algorithm.

Real-time video Surveillance System Design Proposal Using Abnormal Behavior Recognition Technology

  • Lee, Jiyoo;Shin, Seung-Jung
    • International journal of advanced smart convergence
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    • v.9 no.4
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    • pp.120-123
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    • 2020
  • The surveillance system to prevent crime and accidents in advance has become a necessity, not an option in real life. Not only public institutions but also individuals are installing surveillance cameras to protect their property and privacy. However, since the installed surveillance camera cannot be monitored for 24 hours, the focus is on the technology that tracks the video after an accident occurs rather than prevention. In this paper, we propose a system model that monitors abnormal behaviors that may cause crimes through real-time video, and when a specific behavior occurs, the surveillance system automatically detects it and responds immediately through an alarm. We are a model that analyzes real-time images from surveillance cameras and uses I3D models from analysis servers to analyze abnormal behavior and deliver notifications to web servers and then to clients. If the system is implemented with the proposed model, immediate response can be expected when a crime occurs.

Successful endovascular embolization for traumatic subcutaneous abdominal wall hematoma via the superficial inferior epigastric artery: a case report

  • Moon, Sung Nam;Seo, Sang Hyun;Jung, Hyun Seok
    • Journal of Trauma and Injury
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    • v.35 no.2
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    • pp.128-130
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    • 2022
  • Abdominal wall hematoma (AWH) after blunt trauma is common, and most cases can be treated conservatively. More invasive treatment is required in patients with traumatic AWH if active bleeding is identified or there is no response to medical treatment. Herein, we report a case of endovascular embolization for traumatic subcutaneous AWH. Almost endovascular treatment for AWH is done through the deep inferior epigastric artery. However, in this case, the superficial inferior epigastric artery was the bleeding focus and embolization target. After understanding the vascular system of the abdominal wall, an endovascular approach and embolization is a safe and effective treatment option for AWH.

Endoscopic Ultrasound-Guided Transgastric Puncture and Drainage of an Adrenal Abscess in an Immunosuppressed Patient

  • Carlos Andres Regino;Jean Paul Gomez;Gabriel Mosquera-Klinger
    • Clinical Endoscopy
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    • v.55 no.2
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    • pp.302-304
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    • 2022
  • Adrenal gland infection is a clinical entity of great importance, but it is a largely unrecognized pathology. Immunosuppressed individuals are at a higher risk of presentation. Herein, we describe a young female patient, recently diagnosed with HIV, who presented with severe sepsis due to methicillin-resistant Staphylococcus aureus, associated with a left adrenal abscess. She was initially treated with antibiotics; however, due to the persistence of the systemic inflammatory response and bacteremia, endoscopic ultrasound-guided drainage was performed. This procedure was successful in resolving the clinical situation. Endoscopic ultrasound-guided adrenal gland drainage can be a safe, efficacious, and minimally invasive option for managing antibiotic-refractory adrenal abscesses in immunosuppressed patients.

Latissimus dorsi detrusor myoplasty for bladder acontractility: a systematic review

  • Forte, Antonio Jorge;Boczar, Daniel;Huayllani, Maria Tereza;Moran, Steven;Okanlami, Oluwaferanmi O.;Ninkovic, Milomir;Broer, Peter N.
    • Archives of Plastic Surgery
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    • v.48 no.5
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    • pp.528-533
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    • 2021
  • Bladder acontractility affects several thousand patients in the United States, but the available therapies are limited. Latissimus dorsi detrusor myoplasty (LDDM) is a therapeutic option that allows patients with bladder acontractility to void voluntarily. Our goal was to conduct a systematic review of the literature to determine whether LDDM is a better option than clean intermittent catheterization (CIC) (standard treatment) in patients with bladder acontractility. On January 17, 2020, we conducted a systematic review of the PubMed/MEDLINE, Cochrane Clinical Answers, Cochrane Central Register of Controlled Trials, Embase, and ClinicalTrials.gov databases, without time frame limitations, to identify articles on the use of LDDM for bladder acontractility. Of 75 potential articles, 4 fulfilled the eligibility criteria. The use of LDDM to treat patients with bladder acontractility was reported in four case series by the same group in Europe. Fifty-eight patients were included, and no comparison groups were included. The most common cause of bladder acontractility was spinal cord injury (n=36). The mean (±standard deviation) operative time was 536 (±22) minutes, postoperative length of hospital stay ranged from 10 to 13 days, and follow-up ranged from 9 to 68 months. Most patients had complete response, were able to void voluntarily, and had post-void residual volume less than 100 mL. Although promising outcomes have been obtained, evidence is still weak regarding whether LDDM is better than CIC to avoid impairment of the urinary tract among patients with bladder acontractility. Further prospective studies with control groups are necessary.

Development of Climate & Environment Data System for Big Data from Climate Model Simulations (대용량 기후모델자료를 위한 통합관리시스템 구축)

  • Lee, Jae-Hee;Sung, Hyun Min;Won, Sangho;Lee, Johan;Byu, Young-Hwa
    • Atmosphere
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    • v.29 no.1
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    • pp.75-86
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    • 2019
  • In this paper, we introduce a novel Climate & Environment Database System (CEDS). The CEDS is developed by the National Institute of Meteorological Sciences (NIMS) to provide easy and efficient user interfaces and storage management of climate model data, so improves work efficiency. In uploading the data/files, the CEDS provides an option to automatically operate the international standard data conversion (CMORization) and the quality assurance (QA) processes for submission of CMIP6 variable data. This option increases the system performance, removes the user mistakes, and increases the level of reliability as it eliminates user operation for the CMORization and QA processes. The uploaded raw files are saved in a NAS storage and the Cassandra database stores the metadata that will be used for efficient data access and storage management. The Metadata is automatically generated when uploading a file, or by the user inputs. With the Metadata, the CEDS supports effective storage management by categorizing data/files. This effective storage management allows easy and fast data access with a higher level of data reliability when requesting with the simple search words by a novice. Moreover, the CEDS supports parallel and distributed computing for increasing overall system performance and balancing the load. This supports the high level of availability as multiple users can use it at the same time with fast system-response. Additionally, it deduplicates redundant data and reduces storage space.

Effect of Providing Detection Information on Improving Signal Detection Performance: Applying Simulated Baggage Screening Program (정보 제공 피드백이 탐지 수행 증진에 미치는 효과: 가상 수화물 검사를 활용하여)

  • Lim, Sung Jun;Choi, Jihan;Lee, Jidong;Ahn, Ji Yeon;Moon, Kwangsu
    • Journal of the Korean Society of Safety
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    • v.34 no.1
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    • pp.82-89
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    • 2019
  • The importance of aviation safety has been emphasized recently due to the development of aviation industry. Despite the efforts of each country and the improvement of screening equipment, screening tasks are still difficult and detection failures are frequent. The purpose of this study was to examine the effect of feedback on improving signal detection performance applying a Simulated Baggage Screening Program(SBSP) for improving aviation safety. SBSP consists of three parts: image combination, option setting and experiment. The experimental images were color-coded to reflect the items' transmittance of the x-rays and could be combined as researchers' need. In the option, the researcher could set up the information, incentive, and comments needed for training to be delivered on a number of tasks and times. Experiment was conducted using SBSP and participant's performance information (hit, missed, false alarms, correct rejection, reaction time, etc.) was automatically calculated and stored. A total of 50 participants participated and each participant was randomly assigned to feedback and non-feedback group. Participants performed a total of 200 tasks and 20(10%) contained target object(gun and knife). The results showed that when the feedback was provided, the hit, correct rejection ratio and d′ were increased, however, the false alarms and miss decreased. However, there was no significant difference in response criteria(${\beta}$). In addition, implications, limitations of this study and future research were discussed.