Reconstruction Mode of Rural Dilapidated Houses in Alpine and Gorge Area of Southwest China—A Case Study of Scientific Identification and Precision Reconstruction of Rural Dilapidated Houses in Luquan County, Yunnan Province

The transformation of dilapidated houses in rural areas is not only a livelihood project related to the broad masses of rural people, but also a major project to win the battle against poverty. Luquan Yi and Miao Autonomous County, Yunnan Province, located in the high mountain and gorge area along Jinsha River, is one of the key counties of poverty alleviation and development with a wide range of poverty and a deep degree of poverty. The incidence of poverty is 22.21%. Housing security is the focus, difficulty and emphasis of poverty alleviation in this county, the number of dilapidated houses is large, the type is complex, the transformation is difficult, and the implementation cost is high. Since the beginning of 2017, Luquan County has faced difficulties, explored in depth, pioneered and innovated, and completed the renovation of 54801 dilapidated houses in an all-round way. It created a road full of characteristics and effectiveness of rural dilapidated housing transformation, and explored a set of effective scientific identification and accurate transformation models for rural dilapidated housing worthy of reference and promotion. Successful renovation of dilapidated houses, combined with industrial poverty alleviation, education poverty alleviation, health poverty alleviation and other accurate poverty alleviation measures, have made Luquan County win a decisive victory in the fight against poverty. By the end of December 2018, the incidence of poverty in the county had dropped to 0.54 percent, and 115 poor villages (including 83 extremely poor villages) had successfully shaken off poverty.This paper analyzes and summarizes the concrete methods, main effects, characteristics and bright spots, successful experience, and reference significance of the scientific identification and precise transformation mode of rural dilapidated houses in this county, so as to provide a necessary reference for the transformation of rural dilapidated houses in Yunnan Province and even poor counties in similar provinces (cities and districts)

Geochemical Characteristics and Re-Os isotopic dating of Tongde Graphite Deposit, Sichuan Province

The Tongde Graphite Deposit in Panzhihua is located in the accretionary zone on the western margin of the Yangtze plate. In this paper, the whole rock geochemical analysis, C isotope determination and Re-Os isotope dating of the ore in Tongde graphite mining area are carried out, the original rock of the ore is restored, and the metallogenic environment is discussed. Research shows that the ore SiO2 is 55.65~61.68%, SiO2/Al2O3 ratio is 4.59~5.42, and Ni/Co ratio is 6.23~12.88. It is rich in Ba, Rb, Sr and other large ion lithophile elements and Nb, Zr, Hf, Th, U and other high field strength elements. Total rare earth elements of ore ΣREE is 149.13×10-6～195.37×10-6, with weak Ce negative anomaly and Eu negative anomaly, representing the anoxic marine sedimentary environment. The Carbon isotope δ13CV-PDB in ore is -25.0‰~-23.5‰, which is within the range of biogenic organic carbon, indicating that the ore-forming carbon mainly comes from organic matter. The Re-Os isotopic age of graphite is 983 ± 72 Ma (MSWD=1.7), belonging to the early Neoproterozoic, earlier than the intrusion age of magmatic rocks around Tongde. The content of re is between 27.66×10-9～79.81×10-9, the contents of ordinary Os and 187Os are 0.52 ×10-9～2.16×10-9, 0.28 × 10-9～0.83×10-9,respectively ,it is significantly enriched relative to the abundance of Re and Os in the crust. The 187re/188os ratio is 122.9~350.5, and the initial Os isotope ratio 187Os/188Os=0.31±0.21. Combined with the field geological survey, the original rock of ore and ore bearing mica quartz schist in Tongde area is restored, and it is concluded that the original rock is sedimentary rock

Brain structural and functional alterations in MOG antibody disease

BACKGROUND: The impact of myelin oligodendrocyte glycoprotein antibody disease (MOGAD) on brain structure and function is unknown. OBJECTIVES: The aim of this study was to study the multimodal brain MRI alterations in MOGAD and to investigate their clinical significance. METHODS: A total of 17 MOGAD, 20 aquaporin-4 antibody seropositive neuromyelitis optica spectrum disorders (AQP4 + NMOSD), and 28 healthy controls (HC) were prospectively recruited. Voxel-wise gray matter (GM) volume, fractional anisotropy (FA), mean diffusivity (MD), and degree centrality (DC) were compared between groups. Clinical associations and differential diagnosis were determined using partial correlation and stepwise logistic regression. RESULTS: In comparison with HC, MOGAD had GM atrophy in frontal and temporal lobe, insula, thalamus, and hippocampus, and WM fiber disruption in optic radiation and anterior/posterior corona radiata; DC decreased in cerebellum and increased in temporal lobe. Compared to AQP4 + NMOSD, MOGAD presented lower GM volume in postcentral gyrus and decreased DC in cerebellum. Hippocampus/parahippocampus atrophy associated with Expanded Disability Status Scale (R = -0.55, p = 0.04) and California Verbal Learning Test (R = 0.62, p = 0.031). The differentiation of MOGAD from AQP4 + NMOSD achieved an accuracy of 95% using FA in splenium of corpus callosum and DC in occipital gyrus. CONCLUSION: Distinct structural and functional alterations were identified in MOGAD. Hippocampus/parahippocampus atrophy associated with clinical disability and cognitive impairment

Effect of inferior vena cava respiratory variability-guided fluid therapy after laparoscopic hepatectomy: a randomized controlled clinical trial

Abstract. Background:. After major liver resection, the volume status of patients is still undetermined. However, few concerns have been raised about postoperative fluid management. We aimed to compare gut function recovery and short-term prognosis of the patients after laparoscopic liver resection (LLR) with or without inferior vena cava (IVC) respiratory variability-directed fluid therapy in the anesthesia intensive care unit (AICU). Methods:. This randomized controlled clinical trial enrolled 70 patients undergoing LLR. The IVC respiratory variability was used to optimize fluid management of the intervention group in AICU, while the standard practice of fluid management was used for the control group. The primary outcome was the time to flatus after surgery. The secondary outcomes included other indicators of gut function recovery after surgery, postoperative length of hospital stay (LOS), liver and kidney function, the severity of oxidative stress, and the incidence of severe complications associated with hepatectomy. Results:. Compared with patients receiving standard fluid management, patients in the intervention group had a shorter time to anal exhaust after surgery (1.5 ± 0.6 days vs. 2.0 ± 0.8 days) and lower C-reactive protein activity (21.4 [95% confidence interval (CI): 11.9–36.7] mg/L vs. 44.8 [95%CI: 26.9–63.1] mg/L) 24 h after surgery. There were no significant differences in the time to defecation, serum concentrations of D-lactic acid, malondialdehyde, renal function, and frequency of severe postoperative complications as well as the LOS between the groups. Conclusion:. Postoperative IVC respiratory variability-directed fluid therapy in AICU was facilitated in bowel movement but elicited a negligible beneficial effect on the short-term prognosis of patients undergoing LLR. Trial Registration:. ChiCTR-INR-17013093

Combination Of The Immune Modulator Fingolimod With Alteplase In Acute Ischemic Stroke: A Pilot Trial

Background-Inflammatory and immune responses triggered by brain ischemia worsen clinical outcomes of stroke and contribute to hemorrhagic transformation, massive edema, and reperfusion injury associated with intravenous alteplase. We assessed whether a combination of the immune-modulator fingolimod and alteplase is safe and effective in attenuating reperfusion injury in patients with acute ischemic stroke treated within the first 4.5 hours of symptom onset. Methods and Results-In this multicenter trial, we randomly assigned 25 eligible patients with hemispheric ischemic stroke stemming from anterior or middle cerebral arterial occlusion to receive alteplase alone and 22 patients to receive alteplase plus oral fingolimod 0.5 mg daily for 3 consecutive days within 4.5 hours of the onset of ischemic stroke. Compared with patients who received alteplase alone, patients who received the combination of fingolimod with alteplase exhibited lower circulating lymphocytes, smaller lesion volumes (10.1 versus 34.3 mL; P=0.04), less hemorrhage (1.2 versus 4.4 mL; P=0.01), and attenuated neurological deficits in National Institute of Health Stroke Scales (4 versus 2; P=0.02) at day 1. Furthermore, restrained lesion growth from day 1 to 7 (-2.3 versus 12.1 mL; P\u3c0.01) with a better recovery at day 90 (modified Rankin Scale score 0-1, 73% versus 32%; P\u3c0.01) was evident in patients given fingolimod and alteplase. No serious adverse events were recorded in all patients. Conclusions-In this pilot study, combination therapy of fingolimod and alteplase was well tolerated, attenuated reperfusion injury, and improved clinical outcomes in patients with acute ischemic stroke. These findings need to be tested in further clinical trials. Clinical Trial Registration-URL: http://www.clinicaltrials.gov. Unique identifier: NCT02002390

Structural and functional hippocampal alterations in Multiple sclerosis and neuromyelitis optica spectrum disorder

Background: Hippocampal involvement may differ between multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD). Objective: To investigate the morphometric, diffusion and functional alterations in hippocampus in MS and NMOSD and the clinical significance. Methods: A total of 752 participants including 236 MS, 236 NMOSD and 280 healthy controls (HC) were included in this retrospective multi-center study. The hippocampus and subfield volumes, fractional anisotropy (FA) and mean diffusivity (MD), amplitude of low frequency fluctuation (ALFF) and degree centrality (DC) were analyzed, and their associations with clinical variables were investigated. Results: The hippocampus showed significantly lower volume, FA and greater MD in MS compared to NMOSD and HC (p 0.7). Conclusions: Hippocampal atrophy and diffusion abnormalities were identified in MS and NMOSD, partly explaining how clinical disability and cognitive impairment are differentially affected

PLAGL2-EGFR-HIF-1/2α Signaling Loop Promotes HCC Progression and Erlotinib Insensitivity

Background and Aims: Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related deaths worldwide, hence a major public health threat. Pleomorphic adenoma gene like-2 (PLAGL2) has been reported to play a role in tumorigenesis. However, its precise function in HCC remains poorly understood. Approach and Results: In this study, we demonstrated that PLAGL2 was up-regulated in HCC compared with that of adjacent nontumorous tissues and also correlated with overall survival times. We further showed that PLAGL2 promoted HCC cell proliferation, migration, and invasion both in vitro and in vivo. PLAGL2 expression was positively correlated with epidermal growth factor receptor (EGFR) expression. Mechanistically, this study demonstrated that PLAGL2 functions as a transcriptional regulator of EGFR and promotes HCC cell proliferation, migration, and invasion through the EGFR-AKT pathway. Moreover, hypoxia was found to significantly induce high expression of PLAGL2, which promoted hypoxia inducible factor 1/2 alpha subunit (HIF1/2A) expression through EGFR. Therefore, this study demonstrated that a PLAGL2-EGFR-HIF1/2A signaling loop promotes HCC progression. More importantly, PLAGL2 expression reduced hepatoma cells’ response to the anti-EGFR drug erlotinib. PLAGL2 knockdown enhanced the response to erlotinib. Conclusions: This study reveals the pivotal role of PLAGL2 in HCC cell proliferation, metastasis, and erlotinib insensitivity. This suggests that PLAGL2 can be a potential therapeutic target of HCC.Fil: Hu, Weiwei. China Pharmaceutical University; ChinaFil: Zheng, Shufang. China Pharmaceutical University; ChinaFil: Guo, Haixin. China Pharmaceutical University; ChinaFil: Dai, Beiying. China Pharmaceutical University; ChinaFil: Ni, Jiaping. China Pharmaceutical University; ChinaFil: Shi, Yaohong. China Pharmaceutical University; ChinaFil: Bian, Hanrui. China Pharmaceutical University; ChinaFil: Li, Lanxin. China Pharmaceutical University; ChinaFil: Shen, Yumeng. China Pharmaceutical University; ChinaFil: Wu, Mo. China Pharmaceutical University; ChinaFil: Tian, Zhoutong. China Pharmaceutical University; ChinaFil: Liu, Guilai. China Pharmaceutical University; ChinaFil: Hossain, Md Amir. China Pharmaceutical University; ChinaFil: Yang, Hongbao. China Pharmaceutical University; ChinaFil: Wang, Duowei. China Pharmaceutical University; ChinaFil: Zhang, Qin. Jiangsu Cancer Hospital; ChinaFil: Yu, Jun. Jiangsu Cancer Hospital; ChinaFil: Birnbaumer, Lutz. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires". Instituto de Investigaciones Biomédicas. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Biomédicas; ArgentinaFil: Feng, Jifeng. Jiangsu Cancer Hospital; ChinaFil: Yu, Decai. Medical School Of Nanjing University; ChinaFil: Yang, Yong. China Pharmaceutical University; Chin

Automated Classification of Intramedullary Spinal Cord Tumors and Inflammatory Demyelinating Lesions Using Deep Learning

Accurate differentiation of intramedullary spinal cord tumors and inflammatory demyelinating lesions and their subtypes are warranted because of their overlapping characteristics at MRI but with different treatments and prognosis. The authors aimed to develop a pipeline for spinal cord lesion segmentation and classification using two-dimensional MultiResUNet and DenseNet121 networks based on T2-weighted images. A ret-rospective cohort of 490 patients (118 patients with astrocytoma, 130 with ependymoma, 101 with multiple sclerosis [MS], and 141 with neu-romyelitis optica spectrum disorders [NMOSD]) was used for model development, and a prospective cohort of 157 patients (34 patients with astrocytoma, 45 with ependymoma, 33 with MS, and 45 with NMOSD) was used for model testing. In the test cohort, the model achieved Dice scores of 0.77, 0.80, 0.50, and 0.58 for segmentation of astrocytoma, ependymoma, MS, and NMOSD, respectively, against manual la-beling. Accuracies of 96% (area under the receiver operating characteristic curve [AUC], 0.99), 82% (AUC, 0.90), and 79% (AUC, 0.85) were achieved for the classifications of tumor versus demyelinating lesion, astrocytoma versus ependymoma, and MS versus NMOSD, respectively. In a subset of radiologically difficult cases, the classifier showed an accuracy of 79%–95% (AUC, 0.78–0.97). The established deep learning pipeline for segmentation and classification of spinal cord lesions can support an accurate radiologic diagnosis