High Field Magnetization in Manganese Intermetallic Compounds(Magnetism)

Magnetization measurements were carried out on manganese intermetallic compounds Mn_3MC(M=Ga, Zn), Mn_Co_xSb(x=0.09 and 0.15) and MnMX(M=Ru, Rh, Pd;X=As, P)in magnetic fields up to 150 or 320 kOe. Antiferromagnetic(AF)-ferromagnetic(F) field-induced transitions and (AF+F)-(F) one were observed for Mn_3GaC and Mn_3ZnC, respectively. For Mn_Co_Sb, intermediate(I)- ferrimagnetic(Fr) field-induced transitions were observed. For Mn_Co_Sb, AF-Fr field-induced transitions were observed. These transitions were of the first order except one of Mn_3ZnC. The magnetic properties of MnMX (M=Ru, Rh, Pd;X=As, P) were discussed on the basis of the values of magnetization and high-field magnetic susceptibility

High Pressure Apparatus for Angle Dispersive Neutron Diffraction

A piston-cylinder type high pressure apparatus was designed for the angle dispersive neutron diffraction. A Ti-53wt% Zr alloy was used for the cylinder. The performance was tested by observing the structural transformation under pressure in RbBr from an NaCl-type to a CsCl-type

Field Induced Transitions in Rare Earth Intermetallic Compounds RX and RX_2 (R=Er, Ho, Dy, Tb and Gd and X=Ag and Au)(Magnetism)

Rare earth intermetallic compounds RX and RX_2 ( R=Gd, Tb, Dy, Ho and Er : X=Ag and Au) are antiferromagnetic compounds with the CsCl-type crystal structure and the MoSi_2-type one, respectively. Magnetization process is investigated for these compounds under static magnetic fields up to 270 kOe and pulsed ones up to 300 kOe. The observed field induced transitions are reviewed together with their magnetic phase diagrams

Predicting reliable H2_2 column density maps from molecular line data using machine learning

The total mass estimate of molecular clouds suffers from the uncertainty in the H$_2$-CO conversion factor, the so-called $X_{\rm CO}$ factor, which is used to convert the $^{12}$CO (1--0) integrated intensity to the H$_2$ column density. We demonstrate the machine learning's ability to predict the H$_2$ column density from the $^{12}$CO, $^{13}$CO, and C$^{18}$O (1--0) data set of four star-forming molecular clouds; Orion A, Orion B, Aquila, and M17. When the training is performed on a subset of each cloud, the overall distribution of the predicted column density is consistent with that of the Herschel column density. The total column density predicted and observed is consistent within 10\%, suggesting that the machine learning prediction provides a reasonable total mass estimate of each cloud. However, the distribution of the column density for values $> \sim 2 \times 10^{22}$ cm$^{-2}$, which corresponds to the dense gas, could not be predicted well. This indicates that molecular line observations tracing the dense gas are required for the training. We also found a significant difference between the predicted and observed column density when we created the model after training the data on different clouds. This highlights the presence of different $X_{\rm CO}$ factors between the clouds, and further training in various clouds is required to correct for these variations. We also demonstrated that this method could predict the column density toward the area not observed by Herschel if the molecular line and column density maps are available for the small portion, and the molecular line data are available for the larger areas.Comment: Accepted for publication in MNRA

Impact of Native Coronary Artery Calcification on Lesion Outcome Following Drug-Coated Balloon Angioplasty for Treatment of In-Stent Restenosis

This study aimed to clarify whether native coronary artery（CA） calcification before index percutaneous coronary intervention（PCI） has an impact on the effectiveness of drug-coated balloon（DCB） angioplasty for the treatment of in-stent restenosis（ISR）. 100consecutive patients with 166ISR lesions underwent quantitative coronary angiography（QCA） before and after index PCI and before and after DCB angioplasty for ISR. CA calcification before index PCI was assessed by angiography and results were analyzed to reveal the predictive values for target lesion revascularization（TLR） and major adverse cardiac events（MACE）. During 1.03±1.03years of follow-up, TLR occurred in 44lesions（26.5%） and MACE in 33 patients（33%）. On multivariate analysis, CA calcification before index PCI（p=0.016）, and % diameter of stenosis（%DS）≥73%（p=0.023） and minimal lumen diameter（MLD）<0.65mm（p=0.001） before DCB angioplasty were independent predictors for TLR after DCB angioplasty. MACE was also associated with CA calcification before index PCI（p=0.01）, and %DS≥73%（p=0.001） and MLD<0.65mm（p=0.01） before DCB angioplasty, but only %DS≥73% before DCB angioplasty was an independent predictor for MACE after DCB angioplasty（p=0.039）. The combination of CA calcification before index PCI and these QCA factors before DCB angioplasty was an independent and more powerful predictor for MACE than the QCA factors alone（p<0.001）. Thereafter, the combination of CA calcification and %DS≥73% before DCB angioplasty stratified the risk of MACE after DCB angioplasty（p<0.05）. CA calcification before index PCI, as well as anatomical information at ISR, have an impact on outcome after DCB angioplasty for ISR

Distance determination of molecular clouds in the 1st quadrant of the Galactic plane using deep learning : I. Method and Results

Machine learning has been successfully applied in varied field but whether it is a viable tool for determining the distance to molecular clouds in the Galaxy is an open question. In the Galaxy, the kinematic distance is commonly employed as the distance to a molecular cloud. However, there is a problem in that for the inner Galaxy, two different solutions, the ``Near'' solution, and the ``Far'' solution, can be derived simultaneously. We attempted to construct a two-class (``Near'' or ``Far'') inference model using a Convolutional Neural Network (CNN), a form of deep learning that can capture spatial features generally. In this study, we used the CO dataset toward the 1st quadrant of the Galactic plane obtained with the Nobeyama 45-m radio telescope (l = 62-10 degree, |b| < 1 degree). In the model, we applied the three-dimensional distribution (position-position-velocity) of the 12CO (J=1-0) emissions as the main input. The dataset with ``Near'' or ``Far'' annotation was made from the HII region catalog of the infrared astronomy satellite WISE to train the model. As a result, we could construct a CNN model with a 76% accuracy rate on the training dataset. By using the model, we determined the distance to molecular clouds identified by the CLUMPFIND algorithm. We found that the mass of the molecular clouds with a distance of < 8.15 kpc identified in the 12CO data follows a power-law distribution with an index of about -2.3 in the mass range of M >10^3 Msun. Also, the detailed molecular gas distribution of the Galaxy as seen from the Galactic North pole was determined.Comment: 29 pages, 12 figure

Change in brain plasmalogen composition by exposure to prenatal undernutrition leads to behavioral impairment of rats.

Epidemiological studies suggest that poor nutrition during pregnancy influences offspring predisposition to experience developmental and psychiatric disorders. Animal studies have shown that maternal undernutrition leads to behavioral impairment, which is linked to alterations in monoaminergic systems and inflammation in the brain. In this study, we focused on the ethanolamine plasmalogen of the brain as a possible contributor to behavioral disturbances observed in offspring exposed to maternal undernutrition. Maternal food or protein restriction between gestational day (GD) 5.5 and GD 10.5 resulted in hyperactivity of rat male adult offspring. Genes related to the phospholipid biosynthesis were found to be activated in the prefrontal cortex (PFC), but not in the nucleus accumbens or striatum, in the offspring exposed to prenatal undernutrition. Corresponding to these gene activations, increased ethanolamine plasmalogen (18:0p-22:6) was observed in the PFC using mass spectrometry imaging. A high number of crossings and the long time spent in the center area was observed in the offspring exposed to prenatal undernutrition and was mimicked in adult rats via the intravenous injection of ethanolamine plasmalogen (18:0p-22:6) incorporated into the liposome. Additionally, plasmalogen (18:0p-22:6) increased only in the PFC, and not in the nucleus accumbens or striatum. These results suggest that brain plasmalogen is one of the key molecules to control behavior and its injection using liposome is a potential therapeutic approach for cognitive impairment.Significance Statement:Maternal undernutrition correlates to developmental and psychiatric disorders. Here, we found that maternal undernutrition in early pregnancy led to hyperactivity in rat male offspring and induced gene activation of phospholipid-synthesizing enzyme and elevation of ethanolamine plasmalogen (18:0p-22:6) level in the prefrontal cortex (PFC). Intravenous injection of ethanolamine plasmalogen (18:0p-22:6) incorporated into the liposome maintained crossing activity and was circumscribed to the center area for a long time period, in prenatally undernourished offspring with aberrant behavior. Furthermore, the amount of ethanolamine plasmalogen (18:0p-22:6) increased in the PFC of the rat after injection. Our result suggests that brain plasmalogen is one of the key molecules to control behavior and that its injection using liposome is a potential therapeutic approach for cognitive impairment

シンケイ リンパシュショウ デ サイハツシタ チュウスウ シンケイケイ ゲンパツ アクセイ リンパシュ ノ 1ショウレイ

【緒言】神経リンパ腫症は中枢神経または末梢神経への悪性リンパ腫細胞の浸潤によるリンパ節外悪性リンパ腫と考えられる稀な病態である。今回中枢神経系原発悪性リンパ腫の治療後完全寛解後に末梢神経浸潤にて再発を認め、化学療法と自己末梢血幹細胞移植にて完全寛解を得られた症例を経験したので報告する。【症例】50代男性、20XX年に中枢神経系原発悪性リンパ腫と診断、標準的な治療として大量メソトレキセート療法3回施行にて部分寛解、救援療法としてカルボプラチン、エトポシド療法3回と全脳照射(39.6Gy)を施行し完全寛解となった。9ヶ月後、歩行障害、右上肢麻痺、両下肢・右上肢の感覚障害と疼痛を認めた。頭部および脊椎造影MRIに異常所見はなかった。FDG-PET/CTにて右腕神経叢と脊椎神経根に異常集積を認めた。神経リンパ腫症が強く疑われた。脳脊髄液の細胞診とフローサイトメトリー(FCM)にて中枢神経系原発悪性リンパ腫の再発と診断。神経リンパ腫症と診断した。リツキシマブ、メトトレキサート、ビンクリスチン、プロカルバジン併用療法(R-MPV療法)、髄腔内化学療法、およびブスルファン、チオテパ併用(BU/TT)自己末梢血幹細胞移植を施行し完全寛解に至った。【結論】脳脊髄液細胞診とFCM、FDG-PET/CTを併用することで、神経リンパ腫症の診断が可能となった。中枢神経系原発悪性リンパ腫の再発としての末梢神経の神経リンパ腫症ついては確立された治療法はないことを考えると本症例はR-MVP療法とそれに続くBU/TT併用自己末梢血幹細胞移植の有用性を示唆するものである。[Introduction] Neurolymphomatosis is a rare extranodal malignant lymphoma caused by infiltration of malignant lymphoma cells into the peripheral or central nerves. We report a case of neurolymphomatosis as a relapse of primary central nervous system malignant lymphoma. He achieved complete remission with disappearance of neurological symptom by the combination of chemotherapy and autologous peripheral blood stem cell transplantation. [Case] A 50s-year-old male patient was diagnosed as primary central nervous system malignant lymphoma. His disease achieved partial remission with three courses of high-dose methotrexate therapy as induction therapy. The subsequent salvage therapy with carboplatin/etoposide and whole-brain irradiation (39.8Gy) led him complete remission. Nine months later, he developed gait disorder, right upper extremity paralysis, sensory disturbance and pain in both lower extremities and upper right extremities. There were no abnormal findings on head and spine imaging MRI. However, PET-CT scan demonstrated abnormal uptake of FDG in the right brachial plexus and spinal nerve roots. The cerebrospinal fluid cytology and flow cytometry confirmed the diagnosis of neurolymphomatosis as a recurrence of primary central nervous system malignant lymphoma. He underwent R-MPV therapy, intrathecal chemotherapy, and autologous peripheral blood stem cell transplantation with a preconditioning of busulfan and thiotepa, resulting in complete remission of neurolymphomatosis with disappearance of neurological symptoms. [Conclusion] The cerebrospinal fluid cytology and flow cytometry together with PET-CT enabled us to make a diagnosis of neurolymphomatosis. Given that there are no established treatments for neurolymphomatosis of the peripheral nerves as a recurrence of primary central nervous system malignant lymphoma, this case suggests the possible efficacy of the R-MPV therapy followed by autologous peripheral blood stem cell transplantation with busulfan and thiotepa

Pressure Effect on the Magnetic Transition in Mn-Compounds

In the ferromagnetic compounds Ni_2MnSn (Heusler type) and PtMnSn (C1_b-type), the sign of the spontaneous volume striction is measured as negative and dT_c/dP is positive. The signs are opposite to those in NiAs-type Mn-compounds, in which the Mn-Mn distance is comparatively small. These facts are discussed on the basis of an argument that the ferromagnetic interaction is stabilized by contraction or extension of the Mn-Mn distance to adjust the overlapping of d-shells