간 동적 조영검사에 사용하고 있는 VIBE 시퀀스의 고식적인 방법과 딥러닝 방법에 관한 선행된 연구가 부족하여 영상의 평가와 검사의 방향성 및 타당성을 제시하고자 한다. ACR 팬텀 실험은 30회 반복 실험하였고, 저 대조도 분해능 평가영역 에서 syngo.via View&Go를 이용하여 신호대잡음비와 대조대잡음비를 평가하였고, 공간분해능 평가영역에서 MATLAB 을 통해 신호강도의 높이와 반치폭으로 공간 분해능을 평가했다. 팬텀 실험을 기준으로 Matrix 352를 설정하여 30명의 환자 실험을 했다. 간 실질, 간 문맥, 내림 대동맥에서 대조대잡음비를 평가했고, 공간 분해능은 간 문맥, 내림 대동맥의 경계면을 평가했다. 결과 분석은 이원배치 분산 분석으로 진행하고, 사후 분석은 Duncan을 사용했다. 통계분석은 정량적 으로 p-value 0.05 미만으로 유의한 것으로 판단했다. 팬텀 실험의 신호대잡음비와 대조대잡음비 결과는 Matrix 416 이하에서 유의하였으며, 공간분해능 결과는 고식적인 방법 Matrix 352 이하, 딥러닝 방법 288 이하에서 평가할 수 없었 다. 환자 실험 결과는 신호대잡음비, 대조대잡음비, 공간분해능 모두 유의했다. 본 연구는 고식적인 방법보다 딥러닝 방법 이 영상은 더 향상되었고, 획득 시간은 평균 4초(22.4%)가 단축되었다. 딥러닝 방법에서 Matrix 352를 적용하였을 때 검사 시간의 감소로 재현성과 호흡에 의한 인공물 감소가 있었다. 이에 딥러닝 방법에서 Matrix size 적용의 방향성을 제시할 수 있었다.

Iron oxide (Fe2O3) nanoclusters exhibit significant potential in the biomedical and pharmaceutical fields due to their strong magnetic properties, stability in solutions, and compatibility with living systems. They excel in magnetic separation processes, displaying high responsiveness to external magnetic fields. In contrast to conventional Fe2O3 nanoparticles that can aggregate in aqueous solutions due to their ferrimagnetic properties, these nanoclusters, composed of multiple nanoparticles, maintain their magnetic traits even when scaled to hundreds of nanometers. In this study, we develop a simple method using solvothermal synthesis to precisely control the size of nanoclusters. By adjusting precursor materials and reducing agents, we successfully control the particle sizes within the range of 90 to 420 nm. Our study not only enhances the understanding of nanocluster creation but also offers ways to improve their properties for applications such as magnetic separation. This is supported by our experimental results highlighting their size-dependent magnetic response in water. This study has the potential to advance both the knowledge and practical utilization of Fe2O3 nanoclusters in various applications.

In this study, based on the saturation magnetic flux density experimental values (Bs) of 622 Fe-based bulk metallic glasses (BMGs), regression models were applied to predict Bs using artificial neural networks (ANN), and prediction performance was evaluated. Model performance evaluation was investigated by using the F1 score together with the coefficient of determination (R2 score), which is mainly used in regression models. The coefficient of determination can be used as a performance indicator, since it shows the predicted results of the saturation magnetic flux density of full material datasets in a balanced way. However, the BMG alloy contains iron and requires a high saturation magnetic flux density to have excellent applicability as a soft magnetic material, and in this study F1 score was used as a performance indicator to better predict Bs above the threshold value of Bs (1.4 T). After obtaining two ANN models optimized for the R2 and F1 score conditions, respectively, their prediction performance was compared for the test data. As a case study to evaluate the prediction performance, new Fe-based BMG datasets that were not included in the training and test datasets were predicted using the two ANN models. The results showed that the model with an excellent F1 score achieved a more accurate prediction for a material with a high saturation magnetic flux density.

We investigated an emerging magnetic loop dynamically formed on the Sun, which has the effective footpoint heating source that may play a key role in heating a solar atmosphere with free magnetic energy in it. It is suggested that the heating source could be related to local compression of a plasma in the emerging loop by means of Lorentz force, which converts the magnetic energy to the internal energy of the plasma that is used to reaccelerate a decelerated downflow along the loop, eventually generating the source when the kinetic energy of the downflow is thermalized. By analyzing very high-cadense data obtained from a magnetohydrodynamic simulation, we demonstrate how the local compression is activated to trigger the generation of the heating source. This reveals a characteristic of the emerging loop that experiences a dynamic loop-loop interaction, which causes the local compression and makes the plasma gain the internal energy converted from the magnetic energy in the atmosphere. What determines the characteristic that could distinguish an illuminated emerging loop from a nonilluminated one is discussed.

The remote sensing technique of measuring the magnetic field was applied first to sunspots by Hale (1908). Later Babcock (1961) showed that the solar surface magnetic field on a global scale is a dipole in first-order approximation and that this dipole field reverses once every solar cycle. The Wilcox Solar Observatory (WSO) supplies the spherical harmonics coefficients of the solar corona magnetic field of each Carrington Rotation, calculated based on the remotely-sensed photospheric magnetic field of the solar surface. To infer the internal current system producing the global solar coronal magnetic field structure and evolution of the Sun, we calculate the multipole components of the solar magnetic field using the WSO data from 1976 to 2019. The prominent cycle components over the last 4 solar activity cycles are axis-symmetric fields of the dipole and octupole. This implies that the current inversion driving the solar magnetic field reversal originates from the equatorial region and spreads to the whole globe. Thus, a more accurate solar dynamo model must include an explanation of the origin and evolution of such solar internal current dynamics.

본 연구는 조현병으로 진단된 환자들과 정상 대조군 간의 자기공명영상을 사용하여 대뇌 피질 하부 영역의 부피를 측정 하여 대뇌의 구조적 이상을 비교하였다. 자기공명영상 검사 후 획득된 3D T1-MPRAGE 영상과 FreeSurfer 소프트웨어 를 사용하여 대뇌 피질 하의 31개 영역의 부피를 측정하였다. 연구 결과는 조현병 환자군에서 양측 측뇌실, 양측 맥락얼기, 제3뇌실, 뇌척수액 영역의 부피가 정상 대조군보다 유의하게 증가했으며, 좌 우반구 피질, 좌측 시상, 좌측 해마 영역의 부피는 정상 대조군보다 유의하게 감소하였다. 또한, 측정된 대뇌의 부피값과 PANSS 총점수는 약한 음의 상관관계를 나타 내었다. 따라서, 본 연구에서는 자기공명영상과 FreeSurfer를 이용하여 조현병 환자의 대뇌 피질 하 부피를 측정하고 이를 정상 대조군과 비교하여 유의한 증가와 감소를 확인하였다.

복부 MRI 검사에서 높은 수준의 병렬기법을 적용 시 영상의 질을 떨어뜨리는 둘러겹침인공물을 빈번히 생성한다. 이것 은 구조물이 겹쳐서 나타나는 현상으로 복부 인체 구조상 양쪽 팔이 맞닿아 있어서 FOV를 벗어난 양쪽 팔이 영상의 반대 방향 인공물을 발생하는 문제를 초래한다. 이러한 제한점으로 복부 MRI 검사에서는 두경부 및 근골격 검사 부위와 비교하 여 낮은 수준의 병렬기법을 적용하여 검사 시간을 증가시키는 문제가 있다. 이에 본 연구에서는 팔을 위로 올리는 자세를 활용하여 환자의 간단한 자세의 변화를 통하여 병렬기법을 극대화하여 검사 시간을 최소화하면서 영상의 인공물을 제거하 는 데 목적을 두었다. T2, T1 강조 영상을 관상면으로 획득하였다. 연구의 재현성을 높이기 위하여 작은 팬텀을 나란히 놓고(팔 내리는 자세), 한번은 작은 팬텀을 제거하고 영상을 (팔 올리는 자세) 각각 병렬기법인 SENSE 가속인자를 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0까지 10번씩 획득한 후 영상의 불균일도를 측정하였다. 팬텀으로 확인하기 어려운 인체 부위 의 영상을 확인하기 위하여 정상인 자원자 1명을 대상으로 팬텀 연구와 같은 매개변수 조건으로 영상을 획득하였다. SENSE 가속인자가 높아질수록 팔을 올리는 자세에서 영상의 불균일도가 낮게 측정이 되었고 통계학적으로 유의하게 나타 났다. 본 연구는 간단한 자세 변화만으로 병렬기법을 극대화하며 영상획득 시간 단축 및 인공물을 개선방안을 제시하는 데 의의가 있다.

본 연구는 신생아 검사 중 포수클로랄(chloral hydrate)을 투여 후 진행되는 신생아 진정 검사 대비 진정 대체 방식 중 하나인 피드 및 랩(feed and wrap) 방식의 유용성을 평가한 연구이다. 본 연구에선 진정으로 진행한 신생아의 두뇌 T2 축면 영상과 피드 및 랩 방식으로 진행한 같은 영상 각 30개의 운동 허상(motion artifact)과 백질과 회백질의 구분 정도를 두 명의 영상의학과 전문의가 정성적으로 평가하였고, 운동 허상을 측정하기 위해서 위상부호화(phase encoding) 방향의 배경 영역(background area)의 평균 신호 강도(mean signal intensity)를 구하여서 정량적 방식으로 평가하였다. 또한 총검사 시간을 정리한 뒤 정량적 방식으로 평가하였고 투약 기록의 여부와 간호일지를 토대로 피드 및 랩 방식의 총 39건의 검사 건수 대비 성공률을 측정하였다. 운동 허상의 정량적 평가와 영상 품질의 정성적 평가 모두에서 두 집단은 유의미한 차이가 없었으나, 검사 시간의 정량적 평가에선 p값이 0.001로 유의한 차이가 있었다. 피드 및 랩 방식의 총검사 건수 대비 성공률은 100%였다. 결론적으로 본 논문에선 피드 및 랩 방식과 진정 방식의 영상 품질이 유의한 차이가 없고 성공률이 높기에 유용하다고 판단하였으나, 검사 시간이 더 지연되는 한계가 있다는 사실을 확인하였다.

The ability to both assay the presence of, and to selectively remove ions in a solution is an important tool for waste water treatment in many industrial sectors, especially the nuclear industry. Nuclear waste streams contain high concentrations of heavy metals ions and radionuclides, which are extremely toxic and harmful to the environment, wildlife and humans. For the UK nuclear industry alone, it is estimated that there will be 4.9 million metric tonnes of radioactive waste by 2125, which contains a significant number of toxic radionuclides and heavy metals. This is exacerbated further by increased international growth of nuclear new build and decommissioning. Efforts to remove radionuclides have been focused on the development and optimisation of current separation and sequestering techniques as well as new technologies. Due to the large volumes of waste the techniques must be economical, simple to use and highly efficient in application. Magnetic nanoparticles (MNPs) offer a powerful enhancement of normal ion exchange materials in that they can be navigated to specific places using external magnetic fields and hence can be used to investigate challenges such as, pipework in preparation of decommissioning projects. They also have the potential to be fine-tuned to extract a variety of other radionuclides and toxic heavy metals. It has been demonstrated that with the right functional groups these particles become very strongly selective to radionuclides, such as Uranium. However, this new technology also has the potential to effectively aid nuclear waste remediation at a low cost for the separation of both radionuclides and heavy metals. In this work, we investigate the origin of the selectivity of superparamagnetic iron oxide nanoparticles (SPIONs) to Uranium by making systematic changes to the existing surface chemistry and determining how these changes influence the selectivity. Identifying the mechanism by which selected common nuclear related metals, such as Na(I), K(I), Cs(I), Ca(II), Cu(II), Co(II), Ni(II), Cd(II), Mg(II), Sr(II), Pb(II), Al(III), Mn(II), Eu(III) and Fe(III), are sorbed will allow for specific NP-target (nanoparticle) ion interactions to be revealed. Ultimately this understanding will provide guidance in the design of new targeted NP-ligand constructs for other environmental systems.

90Sr is considered a hazardous radionuclide due to its long half-life of 28.8 years, radiotoxicity, and potential to bioaccumulate in various organisms. In the environment, strontium typically exists as divalent cation Sr2+ or in different complexes, depending on the environmental physical and chemical factors. Despite its mobility, Sr2+ transport remains affected by adsorption from solid phases, such as soil and sediments. This research aimed to investigate the efficiency of a magnetic flocculant (MNP/IF) in separating suspended soil and Sr2+ from a soil suspension. MNP/IF was prepared via the electrostatic interaction between magnetite particles and an inorganic flocculant (IF) composed of CaCO3 and Na2SO4. Analysis of the physical properties of MNP/IF confirmed that MNP/IF was successfully imparted with magnetism and had excellent adsorption capacity for Sr2+. The optimal MNP/IF dosage for the sedimentation of suspended soil was determined to be 0.3 g/g (mass ratio of flocculant to soil). The lower the pH, the more favorable the flocculation-sedimentation process of the suspended soil by MNP/IF, since Ca2+ and Mg2+, which are the most common strong flocculators, were further eluted from IF under acidic conditions. Besides, MNP/IF exhibited outstanding removal performance for Sr2+, with maximum adsorption capacities of 163.6 mg/g observed during the flocculation-sedimentation reaction of suspended soil. The adsorption of Sr2+ exhibited consistency with the Langmuir model and followed pseudo-second-order kinetics. These findings suggest that MNP/IF can be used for the simultaneous removal of suspended soil particles and Sr2+ from a radioactive soil suspension.

A radioactive waste repository consists of engineered barriers and natural barriers and must be safely managed after isolation. Geologic events in natural barriers should be categorized and evaluated according to their magnitude to assess the present and future stability of disposal. Among the longterm evolutionary elements of natural barriers, faults are a small portion of the Earth’s crust. Still, they play an important role in nuclide transport as conduits for fluids moving deep underground. In addition, the physical and chemical properties of fault rocks are useful for understanding the longterm and short-term behavior of faults. Paleomagnetic research has been used extensively and successfully for igneous, metamorphic, and sedimentary rocks. In addition, magnetic characterization of fault rocks can be used to describe faults or infer the timing of major geological events along fault zones. Components of magnetization defined in fault-breccias were attributed to chemical processes associated with hydrothermal mineralization that accompanied or post-dated tectonic activity along the fault. The study of magnetic minerals in fault rocks can be used as “strain indicators”, “geothermometers”, etc. This study is a preliminary test of magnetic properties using fault gouges. Fault gouges are not well preserved in typical terrestrial environments. Access to fresh gouges typically requires trenching through faults or sampling with a core drill. Fortunately, it is a magnetic property study using a fault gouge that exists on the inner wall of KURT (KAERI Underground Research Tunnel). This is to identify the motion history of the fault and, furthermore, to understand the stress structure at the time of fault creation. In addition, it can be presented as evidence for evaluating faults that may appear in future URL (Underground Research Laboratory).

Because magnets fabricated using Nd-Fe-B exhibit excellent magnetic properties, this novel material is used in various high-tech industries. However, because of the brittleness and low formability of Nd-Fe-B magnets, the design freedom of shapes for improving the performance is limited based on conventional tooling and postprocessing. Laserpowder bed fusion (L-PBF), the most famous additive manufacturing (AM) technique, has recently emerged as a novel process for producing geometrically complex shapes of Nd-Fe-B parts owing to its high precision and good spatial resolution. However, because of the repeated thermal shock applied to the materials during L-PBF, it is difficult to fabricate a dense Nd-Fe-B magnet. In this study, a high-density (>96%) Nd-Fe-B magnet is successfully fabricated by minimizing the thermal residual stress caused by substrate heating during L-PBF.