Abstract Objective To explore the value of serum Dickkopf-3 (sDKK3) in predicting Early Neurological Deterioration (END) and in-hospital adverse outcomes in acute ischemic stroke (AIS) patients. Methods AIS patients (n = 200) were included and assessed by the National Institutes of Health Stroke Rating Scale. Serum Dkk3 levels were assessed by ELISA. END was defined as an increase of ≥ 4 points in NIHSS score within 72h. The biological threshold of sDKK3 level and END occurrence were predicted based on X-tile software. Primary outcomes were END and all-cause death, and the secondary outcome was ICU admission during hospitalization. The logistic regression model and Cox risk regression model were applied to evaluate the relationship between DKK3 level and END incidence, all-cause in-hospital mortality, and in-hospital adverse outcomes (ICU admission). Results During hospitalization, the incidence of END in patients with AIS was 13.0 %, and the mortality rate within 7 days after END was 11.54 % (3/26). In patients below the serum DKK3 cutoff (93.0 pg/mL), the incidence of END was 43.5 % (20/48). Patients with lower sDKK3 levels were associated with a 1.188-fold increased risk of developing END (OR = 1.188, 95 % CI 1.055‒1.369, p < 0.0001). However, there was no significant association with admission to the ICU. sDKK3 below the threshold (93.0 pg/mL) was a risk factor for death. Conclusion Predictive threshold levels of serum DKK3 based on X-tile software may be a potential predictive biomarker of in-hospital END in patients with AIS, and low levels of DKK3 are independently associated with increased in-hospital mortality. Dickkopf3 Dickkopf 3 Dickkopf- sDKK (sDKK3 (END inhospital hospital (AIS n 200 Scale Dkk ELISA 72h h Xtile X tile allcause all cause death hospitalization DKK admission. . admission) 130 13 0 13. 1154 11 54 11.5 3/26. 326 3/26 26 (3/26) 93.0 930 93 (93. pg/mL, pgmL pg/mL , pg mL 435 43 5 43. 20/48. 2048 20/48 20 48 (20/48) 1.188fold 1188fold fold 1.188 1 188 OR 1188 9 10551369 055 369 1.055‒1.369 0.0001. 00001 0.0001 0001 0.0001) However (sDKK 115 11. 32 3/2 2 (3/26 93. (93 204 20/4 (20/48 188fold 1.18 18 118 1055136 05 36 1.055‒1.36 0000 0.000 000 3/ (3/2 (9 20/ (20/4 1.1 105513 1.055‒1.3 0.00 00 (3/ ( (20/ 1. 10551 1.055‒1. 0.0 (3 (20 1055 1.055‒1 0. (2 105 1.055‒ 10 1.055 1.05 1.0

RESUMEN Para el método tradicional de ajuste de elevación GPS, la precisión no se ha mejorado significativamente en los últimos años, y el método se ha vuelto cada vez más complicado. Este documento propone insertar la altura geodésica "H" en el sistema de cálculo y utilizar una función de regresión polinómica ternaria para ajustar la anomalía de elevación del GPS. La viabilidad del método de regresión polinómica ternaria en el ajuste de elevación GPS se verificó mediante un ejemplo y, en comparación con los resultados del método tradicional de ajuste de plano y ajuste de superficie cuadrática, se demostró que el método propuesto es adecuado para terrenos con grandes fluctuaciones. El error residual de ajuste y la desviación estándar son menores, y a través de cálculos de ejemplo, se concluye que el método de regresión polinómica ternaria bajo los siete parámetros tiene la mayor precisión de ajuste.

ABSTRACT For the traditional GPS elevation fitting method, the accuracy has not been significantly improved in recent years, and the method has become increasingly complicated. This paper proposes to insert the geodetic height 'H' into the calculation system and use a ternary polynomial regression function to fit the GPS elevation anomaly. The feasibility of the ternary polynomial regression method in GPS elevation fitting was verified by an example, and compared with the results of the traditional plane fitting and quadric surface fitting method, it was proved that the proposed method is suitable for terrain with large terrain fluctuations. The fitting residual error and the standard deviation are smaller, and through example calculations, it is concluded that the ternary polynomial regression method under the seven parameters has the highest fitting accuracy.

Objective: To investigate the functions of Fibroblast Growth Factor Receptor-2 (FGFR2) at different stages of cell differentiation. The engineered murine embryonic stem (ES) cells with conditional knockout of FGFR2 were developed depending on Cre-loxP. Methods: Cre-loxP system was used in a conditional targeting vector. The competent AM-1 bacteria, which expressed Cre-recombinase, was used to confirm the Cre-mediated deletion of the floxed exons 7 and 8 of FGFR2. The targeting vector was electroporated into the ES cells, and the transfected ES cells were screened with G418 and Ganciclovir. Finally, the ES clones with correct targeting events were identified by Southern Blot and PCR. Results: The targeting vector with conditional knockout of murine FGFR2 was successfully constructed and confirmed by PCR and digestion analysis in bacteria. 86 ES clones were collected by selective culture with G418 and Ganciclovir. Four of the 86 ES clones were found containing the targeting gene sequence in genomic DNA proved by Southern Blot with a 5'-end flank probe. Two of the four ES clones had the correct targeting events that included the insertion of the targeting gene sequence in genomic DNA and were checked by Southern Blot with a 3'-end flanking probe. Finally, the insertion of loxP (loxP3) between exons 8 and 9 in genomic DNA was identified in one of the two ES clones by Southern Blot and PCR. Conclusion: FGFR2 conditional knockout depending on Cre-loxP can be successfully used in ES cells.