This study evaluates the potential of various coagulants to enhance the efficiency of total phosphorus removal facilities in a sewage treatment plant. After analyzing the existing water quality conditions of the sewage treatment plant, the coagulant of poly aluminium chloride was experimentally applied to measure its effectiveness. In this process, the use of poly aluminium chloride and polymers in various ratios was explored to identify the optimal combination of coagulants. The experimental results showed that the a coagulants combination demonstrated higher treatment efficiency compared to exclusive use of large amounts of poly aluminium chloride methods. Particularly, the appropriate combination of poly aluminium chloride and polymers played a significant role. The optimal coagulant combination derived from the experiments was applied in a micro flotation method of real sewage treatment plant to evaluate its effectiveness. This study presents a new methodology that can contribute to enhancing the efficiency of sewage treatment processes and reducing environmental pollution. This research is expected to make an important contribution to improving to phosphorus remove efficiency of similar wastewater treatment plant and reducing the ecological impact from using coagulants in the future.

본 연구는 예술가가 작품을 구상하는 과정에서 그 아이디어를 최초로 구현한 통합적 노 트인 플럭서스의 총보를 중심으로, 예술가의 통합적 노트가 융합적 창작을 기획하는 예술가 의 파라큐레토리얼의 실천으로써 가지는 시의성을 제시하고자 한다. 이를 위해, 리하르트 바 그너의 ‘총체예술’부터 빈 분리파가 제시하는 ‘예술가사회’ 그리고 라즐로 모홀리 나기가 바 우하우스 극과 ‘총체극’에서 제안하는 동등한 협업관계까지 융합적 창작에 대한 태도와 방식 이 어떻게 확장되어왔는지 먼저 살펴본다. 이러한 협업에 대한 관계의 성향, 태도 등은 이후 1950-60년대 현대음악 작곡과 전위적 퍼포먼스에서 다양한 장르의 예술가들이 함께 활동 하는 과정을 중심으로 재조명할 수 있다. 특히, 플럭서스가 제시하는 느슨한 예술가 커뮤니 티와 인터미디어의 개념을 총체예술의 계보 안에서 고찰해본다. 그리고 이 개념을 바탕으로 플럭서스 예술가들의 구체적인 총보와 퍼포먼스 사례들에서 예술가들이 서로가 서로의 기획 에 어떻게 퍼포머의 역할을 수행하여 협업했는지 그 과정을 추적한다. 당시 작곡이나 각본, 드로잉과 같은 형식으로 작성된 예술가의 통합적 노트가 작품화 되는 과정은 여러 예술가들 의 협업을 필요로 했다. 이 연구는 오늘날 다원 예술에서 예술가들이 서로의 작품에서 다양 한 역할을 수행하는 과정 중, 고려해야할 협업의 태도에 대한 지침이 될 것을 기대한다.

Rhaphidophoridae (Orthoptera: Ensifera), commonly known as cave crickets, are a wingless family and considered the most ancient lineage within Tettigoniidea. However, previous molecular phylogenetic studies and morphological hypotheses have shown inconsistencies. Although their fossils have been found in Baltic amber, their systematic placement remains unrevealed. This study reconstructed a comprehensive phylogeny integrating both extant and fossil lineages. Initially, we revealed relationships within extant lineages through molecular phylogenetics including all extant subfamilies for the first time. Subsequently, using a cladistic approach based on morphology, we confirmed the systematic position of fossil taxa †Protroglophilinae with a report of a new species. Integrating molecular and morphological phylogeney by total evidence tip-dating, we present the comprehensive phylogeny of Rhaphidophoridae considering both extant and fossil groups.

자기공명(magnetic resonance, MR)영상에서 주로 발생하는 Rician 노이즈는 영상의 화질을 저하하는 주요 요소 중의 하나이다. 본 연구에서는 노이즈 제거에 효율적이라고 잘 알려진 총변이(total variation, TV) 알고리즘을 모 델링하여 Rician 노이즈 레벨에 따른 파라미터를 최적화하고자 한다. 시스템은 8채널 기반의 3.0 T 장치를 활용하였 고 물 팬텀 영상을 획득하여 각각 Rician 노이즈를 0.05, 0.10, 0.15, 그리고 0.20 값을 부가하였다. TV 알고리즘 은 Rudin-Osher-Fatemi 모델을 기반으로 모델링하였고 최적화를 수행하기 위하여 반복수 파라미터를 조정하여 획득된 영상에 적용하였다. 결과적으로 Rician 노이즈 레벨을 0.05, 0.10, 0.15, 그리고 0.20을 사용하였을 때 각 각 30, 40, 80, 그리고 120 반복수를 기반으로 한 TV 노이즈 알고리즘에서 가장 우수한 신호 대 잡음비(signal to noise ratio, SNR)와 대조도 대 잡음비(contrast to noise ratio, CNR) 결괏값이 도출되었다. 또한, 최적화된 반복수를 적용한 TV 알고리즘을 사용한 MR 영상에서 기존의 위너 및 중간값 필터를 사용하였을 때 비하여 SNR과 CNR 모두 우수한 값을 획득할 수 있었다. 특히 기본적으로 획득된 MR 영상보다 최적화된 TV 알고리즘을 적용한 영상의 평균 SNR과 CNR은 각각 3.11 및 3.31배 향상됨이 증명되었다. 결론적으로, 노이즈 제거 효율이 우수한 TV 알고리즘의 최적화된 파라미터를 활용한다면 MR 영상에서의 활용 가능성이 클 것으로 기대한다.

Air blower has been widely used in many industrial fields such as wind tunnel and large ventilation systems. Its performance is affected by operating conditions and system geometry of inpeller and duct, and these design parameter optimization is essential for the effective development. CFD analysis is carried out to investigate the air flow field characteristics with outlet total pressure in a blower system. Intake air into the impeller blade through the inlet is compressed, and then gradually discharged from the outlet with ascending total pressure, and predicted results are compared with test data. Especially this overall pressure difference in the blower system severely depends on the flow rate. These results are expected to be used as applicable design data for blower performance improvement.

Dissolved organic matter (DOM) is a key component in the biogeochemical cycling in freshwater ecosystem. However, it has been rarely explored, particularly complex river watershed dominated by natural and anthropogenic sources, such as various effluent facility and livestock. The current research developed a new analytical method for TOC/TN (Total Organic Carbon/Total Nitrogen) stable isotope ratio, and distinguish DOM source using stable isotope value (δ13C-DOC) and spectroscopic indices (fluorescence index [FI] and biological index [BIX]). The TOC/TN-IR/MS analytical system was optimized and precision and accuracy were secured using two international standards (IAEA-600 Caffein, IAEA-CH-6 Sucrose). As a result of controlling the instrumental conditions to enable TOC stable isotope analysis even in low-concentration environmental samples (<1 mgC L-1), the minimum detection limit was improved. The 12 potential DOM source were collected from watershed, which includes top-soils, groundwater, plant group (fallen leaves, riparian plants, suspended algae) and effluent group (pig and cow livestock, agricultural land, urban, industry facility, swine facility and wastewater treatment facilities). As a result of comparing characteristics between 12 sources using spectroscopic indices and δ13C-DOC values, it were divided into four groups according to their characteristics as a respective DOM sources. The current study established the TOC/TN stable isotope analyses system for the first time in Korea, and found that spectroscopic indices and δ13C-DOC are very useful tool to trace the origin of organic matter in the aquatic environments through library database.

In this study, a THC removal system was developed using an oxidation catalyst to solve the problems of the existing thermal oxidation methods, RTO and RCO. In addition, this system was applied to industrial sites to confirm the VOCs removal efficiency. As a result of testing to remove THC and VOCs by applying the reaction system for THC removal in industrial sites, the THC removal efficiency range is between 99.5% and 99.9%. The treatment efficiency of individual VOCs treated through this system was the lowest at 79.0% for methylethylketone and the highest at 91.3% for acetaldehyde, and the average treatment efficiency was about 85.4%. From these numbers, the performance was superior to the existing RTO and RCO systems that showed THC removal performance. This is due to the fact that the oxidation reaction of the oxidation catalyst is a very fast catalyst surface reaction, and the characteristics of the catalytic oxidation reaction are complete oxidation and oxidation reaction under rarefied conditions. In this study, the catalyst role in the reaction system for THC removal is to process THC simultaneously with the system heat source. This is believed to be because the reaction of the oxidation catalyst is a strongly exothermic reaction and can sufficiently provide the amount of heat necessary for the system. At the same time, an oxidation reaction that breaks the bonds of the THC component also occurs. This reaction is a strong exothermic reaction, which can help the system maintain a high temperature during the reaction, and is considered an effective system for processing high concentrations of THC in actual industrial sites where THC concentrations are high, as in this study.

This paper proposes an algorithm for the Unrelated Parallel Machine Scheduling Problem(UPMSP) without setup times, aiming to minimize total tardiness. As an NP-hard problem, the UPMSP is hard to get an optimal solution. Consequently, practical scenarios are solved by relying on operator's experiences or simple heuristic approaches. The proposed algorithm has adapted two methods: a policy network method, based on Transformer to compute the correlation between individual jobs and machines, and another method to train the network with a reinforcement learning algorithm based on the REINFORCE with Baseline algorithm. The proposed algorithm was evaluated on randomly generated problems and the results were compared with those obtained using CPLEX, as well as three scheduling algorithms. This paper confirms that the proposed algorithm outperforms the comparison algorithms, as evidenced by the test results.

Background: Some patients may not fully recover their daily activity capabilities even after the total hip replacement (THR), and may continue to experience functional limitations for up to a year after the procedure, according to reports. Objectives: The purpose of this study was to examine the effects of machine squat on muscle strength, balance and gait in patients after THR. Design: A randomized controlled trial. Methods: Thirty-three patients after THR were randomly allocated into slide (n=11), reformer (n=11), and control groups (n=11). Each group underwent their respective squat regimens for thirty minutes, seven times a week, for two weeks. Muscle strength changes were assessed using the manual muscle test (MMT), balance was evaluated using the Berg Balance Scale (BBS), and gait analysis was performed using the 10-meter walk test (10MWT). Results: Significant changes in hip flexor and abductor strength were observed in the slide and reformer groups within each group (P<.05). The reformer group showed significant changes in hip extensor strength (P<.05). Significant improvements in BBS were observed in all three groups (P<.05). There were significant changes in 10MWT in the slide and reformer groups (P<.05). A significant difference in hip extensor strength was found between the reformer and control groups after the intervention (P<.0167). Significant differences in BBS were observed between the slide and reformer groups and between the reformer and control groups after the intervention (P<.0167). Conclusion: Our findings suggest that machine squat regimens can be effective for early rehabilitation after THR, improving muscle strength, balance, and gait.

Spent fuels (SFs) are stored in a storage pool after discharge from nuclear power plants. They can be transferred to for the further processes such as dry storage sites, processing plants, or disposal sites. One of important measures of SF is the burnup. Since the radioactivity of SF is strongly dependent on its burnup, the burnup of SF should be well estimated for the safe management, storage, and final disposal. Published papers about the methodology for the burnup estimation from the known activities of important radioactive sources are somewhat rare. In this study, we analyzed the dependency of the burnup on the important radiation source activities using ORIGEN-ARP, and suggested simple correlations that relate the burnup and the important source activities directly. A burnup estimation equation is suggested for PWR fuels relating burnup with total neutron source intensity (TNSI), initial enrichment, and cooling time. And three burnup estimation equations for major gamma sources, 137Cs, 134Cs, and 154Eu are also suggested.

본 연구는 과체중과 정상체중의 비글견 사이에서 미네랄 소화율의 차이를 평가하기 위해 수행되었다. 중성화 된 건강한 비글견 11마리(47.7개월령 ±0.14)의 Body condition score (BCS)를 기준으로 Normal BCS 그룹(BCS≤5, n=5)과 High BCS 그룹(BCS ≥6, n=6)의 두 그룹에 배치하였다. 시험사료는 반려견의 영양소 요구량을 충족하도록 제조하여 개체 별 에너지요구량에 맞춰 일일 2회에 나누어 14일 동안 급여하였다. 미네랄의 외관상 전장 소화율은 0.5% 산화크롬(Cr2O3)을 이용한 지시제법을 이용하여 평가되었다. 사료와 분변 내 Macro 미네랄(K, Mg, P, Na, Ca)과 Micro 미네랄(Se, Fe, Zn, Cu, Mn)의 함량은 유도결합플라즈마 분광광도계를 이용하여 분석하였다. 체중과 BCS는 Normal BCS 그룹 보다 High BCS 그룹이 유의하게 높았으며(p<0.01), 시험기간 동안 두 그룹 내 각각의 체중과 BCS는 통계적으로 유의한 변화는 관찰되지 않았다(p>0.05). 미네랄 소화율을 평가한 결과, Macro 미네랄 중에서는 마그네슘, 인, 칼슘의 소화율이 High BCS 그룹에서 높은 경향으로 관찰되었으며(p<0.1), Micro 미네랄 중에서는 High BCS 그룹에서 망간의 소화율이 유의하게 높았고(p<0.05), 셀레늄과 아연의 소화율은 높은 경향(p<0.1)을 나타내었다. 또한, 통계적인 유의성과 관계없이 분석한 모든 미네랄 지표에서 High BCS 그룹이 Normal BCS 그룹보다 높은 소화율의 결과를 보여 주었다. 본 연구의 결과는 비글견에서 과체중 또는 비만이 미네랄 소화율의 변화를 유도할 잠재적 가능성을 보여주었다.

Background: Kinesio taping (KT) is an intervention method used to improve early function after surgery; however, the effect of KT varies depending on the intervention method. Objectives: To investigated systematically review and quantitatively analyze the effect of KT randomized controlled trials (RCTs) applied to Total knee arthroplasty (TKA) to determine the value of the treatment method for TKA patients. Design: A systemic review and meta-analysis. Methods: Studies were identified by searching multiple electronic databases from January 2023 to February 2023. We selected RCTs comparing KT or no treatment, standard physical therapy, multimodal therapeutic approaches. When possible, we pooled data using random-effects meta-analysis. The Cochrane Bias Method Group's seven-item risk of bias (RoB) assessment tool was used for RCTs. The main outcomes were pain, swelling, and ROM. Results: Three trials (290 patients) provided sufficient data and were similar enough to be pooled for meta-analysis. The standardized mean difference for a reduction of pain was SMD = -1.02, 95 % CI -1.93 to -0.12; p= 0.03; I2= 92 %. The standardized mean difference for a reduction of swelling was SMD= - 0.23, 95 % CI -0.50 to -0.05; p= 0.10; I2= 58 %. The standardized mean difference for ROM was SMD= 1.06, 95 % CI -0.08 to 2.20; p= 0.07; I2= 95 %. Conclusion: KT has a large effect on pain reduction in TKA patients and could be used as an additional treatment option, but a small effect was observed in swelling and ROM.

The entire industry is increasing the use of big data analysis using artificial intelligence technology due to the Fourth Industrial Revolution. The value of big data is increasing, and the same is true of the production technology. However, small and medium -sized manufacturers with small size are difficult to use for work due to lack of data management ability, and it is difficult to enter smart factories. Therefore, to help small and medium -sized manufacturing companies use big data, we will predict the gross production time through machine learning. In previous studies, machine learning was conducted as a time and quantity factor for production, and the excellence of the ExtraTree Algorithm was confirmed by predicting gross product time. In this study, the worker's proficiency factors were added to the time and quantity factors necessary for production, and the prediction rate of LightGBM Algorithm knowing was the highest. The results of the study will help to enhance the company's competitiveness and enhance the competitiveness of the company by identifying the possibility of data utilization of the MES system and supporting systematic production schedule management.

In the engineered barrier system of deep geological disposal repository, complex physicochemical phenomena occur throughout the entire disposal time, consequently impacting the safety function. The bentonite buffer, a significant component of the engineered barrier system, can be geochemically altered due to the changes in host rock groundwater, temperature, and redox condition. Such changes may have direct or indirect effects on radionuclide migration in case of canister failure. Therefore, a modeling tool that accounts for coupled thermal-hydraulic-mechanical-chemical (THMC) processes is necessary for the safety assessment. To this end, the Korea Atomic Energy Research Institute (KAERI) has developed the APro, a modeling interface for conducting safety assessment of deep geological disposal repository. The APro considers coupled THMC processes that influence radionuclide migration. Here, the solute transport considering thermal and hydraulic processes are calculated using the COMSOL multi-physics, while geochemical reactions are carried out in PHREEQC. The two software are coupled using a sequential non-iterative operator splitting approach, and transport of non-water H, non-water O, and charge were additionally considered to enhance the coupling model stability. Finally, the applicability of APro to simulate long-term geochemical evolution of bentonite was demonstrated through benchmark studies to evaluate the effects of mineral precipitation/dissolution, temperature, redox, and seawater intrusion.