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We report NMR study on the spin correlations in the spin-cluster based mineral Na$_2$Cu$_3$O(SO$_4$)$_3$ with magnetic fields ranged from 1 T to 33 T. The long-range magnetic order is observed from both the sudden spectral broadening at $T_N$ and critical slowing down behavior in the temperature dependence of spin-lattice relaxation rates ($1/T_1(T)$). The hump behavior of $1/T_1(T)$ persists to $\mu_0H=7.25$ T, above which a spin excitation gap is observed from the thermally activated temperature dependence of $1/T_1$. The gap size shows a linear field dependence, whose slope and intercept respectively yield an effective magnetic moment of 2.54 $\mu_B$ and a 0.94 meV spin excitation gap under zero magnetic field. These results indicate the existence of short-range order and prominent easy-plane spin anisotropy, which are important for understanding the spin excitation spectrum in A$_2$Cu$_3$O(SO$_4$)$_3$., Comment: 5 pages, 4 figures

Due to the relatively complex construction and demolition waste (C&DW) spectrum and texture, it is difficult to identify C&DW by simply constructing a remote sensing index. Therefore, this study proposes an automatic identification method of C&DW based on deep learning and the Gaofen-2 (GF-2) Data. Pingdingshan City and Jining City in China were selected as the research areas in the study. The dataset used for deep learning training and testing in the study area was captured by the GF-2 Data. On the basis of this dataset, the deep learning model DeepLabv3+ is used to identify C&DW. The overall accuracy rate of the deep learning model for identifying C&DW is 82.02%, and the overall mIoU is 82.39%. The accuracy of the model for the identification of C&DW areas is further verified by ground verification. The results of this study are helpful for the survey and management of C&DW, which is beneficial to the study of spatial and temporal distribution of urban C&DW, resource utilization and environmental pollution risk reduction.

Yong-Fang Li,1,* Qin-Yi Wang,1,* Lu-Lu Xu,2 Chun Yue,2 Li Hu,2 Na Ding,1 Yan-Yi Yang,2 Xiao-Li Qu,1 Zhi-Feng Sheng1,2 1National Clinical Research Center for Metabolic Diseases, Hunan Provincial Key Laboratory of Metabolic Bone Diseases, Department of Metabolism and Endocrinology, Health Management Center, The Second Xiangya Hospital of Central South University, Changsha, Hunan, People’s Republic of China; 2Health Management Center, The Second Xiangya Hospital of Central South University, Changsha, Hunan, People’s Republic of China*These authors contributed equally to this workCorrespondence: Zhi-Feng Sheng, Tel +86-13574806523, Email shengzhifeng@csu.edu.cnPurpose: Fragility fractures, the most serious complication of osteoporosis, affect life quality and increase medical expenses and economic burden. Strategies to identify populations with very low bone mineral density (T-scores

Longlong Hu,1 Huihui Bao,1,2 Xiao Huang,1 Wei Zhou,1,2 Tao Wang,1,2 Lingjuan Zhu,1,2 Xi Liu,3 Minghui Li,1,3 Xiaoshu Cheng1,2 1Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, People’s Republic of China; 2Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, People’s Republic of China; 3Center of Cardiovascular Medicine, Inner Mongolia People’s Hospital, Hohhot, Inner Mongolia, People’s Republic of ChinaCorrespondence: Minghui LiCenter of Cardiovascular Medicine, Inner Mongolia People’s Hospital, No. 20 Zhaowuda Road, Hohhot, Inner Mongolia, 010017, People’s Republic of China, Tel +8615389819973, Fax +86-791-86262262, Email 15389819973@163.comXiaoshu ChengDepartment of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, No. 1 Minde Road, Nanchang, Jiangxi, 330006, People’s Republic of China, Tel +8613607089128, Fax +86-791-86262262, Email xiaoshumenfan126@163.comBackground: Several recent studies have shown the relationship between the triglyceride glucose (TyG) index and the risk of stroke in the general population and in a few patient cohorts; however, the role of the TyG index on stroke risk in elderly hypertensive patients has not been determined. Thus, we aimed to investigate the association of the TyG index with first stroke and first ischemic stroke in elderly individuals with hypertension.Methods: We included 8487 elderly subjects with hypertension from the China H-type Hypertension Registry Study for the current analysis. The TyG index was calculated as ln (fasting triglyceride [mg/dL] × fasting glucose [mg/dL]/2). Outcomes were the first stroke and first ischemic stroke.Results: During a median follow-up of 1.72 years, the first stroke was diagnosed in 82 patients (0.97%), and the first ischemic stroke was diagnosed in 48 patients (0.57%). Multivariable Cox proportional hazards models revealed that the TyG index was positively associated with the risk of first stroke (per 1-unit increment; HR: 1.72; 95% CI: 1.07, 2.76) and first ischemic stroke (HR: 2.31; 95% CI: 1.32, 4.05). When the TyG index was assessed as quartiles, significantly higher risks of first stroke (HR: 1.90; 95% CI: 1.04, 3.45) and first ischemic stroke (HR: 2.45; 95% CI: 1.16, 5.20) were found in participants in quartile 4 compared with those in quartiles 1– 3.Conclusion: The TyG index is potentially useful in the early identification of elderly hypertensive patients at high risk of experiencing a first stroke.Keywords: triglyceride glucose index, stroke, ischemic stroke, hypertension

Supplemental material, sj-docx-1-jdr-10.1177_00220345231182052 for Fibulin-1 Regulates Initiation of Successional Dental Lamina by G. Li, Q. Li, Z. Shen, X. Lin, X. Li, J. Wang, B. Zhao, Y. Feng, L. Feng, W. Guo, L. Hu, J. Wang, C. Zhang, Z. Fan, S. Wang and X. Wu in Journal of Dental Research