Search results

Nowadays, the researchers in Cultural Heritage fields investigate more and more about advanced conservation strategies that comprehend the possibility to share and use 3D models and structured information related to them. One of the modern method adopted to achieve this goal is to use structured web-platform. These are online systems that can handle data, created to contain and support precise information. They simultaneously respond to the need for a common ground for different expert users and of a unique tool where to store several kinds of data, coming from heterogeneous sources. The article aims to show how it is possible to build a valid tool for the conservation and monitoring activities of CH, following the national and international legislation and the specific needs of the application field. In particular, it will deepen the criteria to build a 3D model that has to link a database of information, specifying the logic behind it. In the same way, it will show how to structure a database collaborating with the local institutions and experts, following the real needs of the site. The benefit is that this kind of tools gives to the multi-disciplinary works and projects a shared environment for storing and view a different type of data. They can help both the access intended to the conservation activities and both they can open to the public. The application field is the Sacri Monti circuit, which is part of the UNESCO World Heritage List since 2003.

Nowadays, the researchers in Cultural Heritage fields investigate more and more about advanced conservation strategies that comprehend the possibility to share and use 3D models and structured information related to them. One of the modern method adopted to achieve this goal is to use structured web-platform. These are online systems that can handle data, created to contain and support precise information. They simultaneously respond to the need for a common ground for different expert users and of a unique tool where to store several kinds of data, coming from heterogeneous sources. The article aims to show how it is possible to build a valid tool for the conservation and monitoring activities of CH, following the national and international legislation and the specific needs of the application field. In particular, it will deepen the criteria to build a 3D model that has to link a database of information, specifying the logic behind it. In the same way, it will show how to structure a database collaborating with the local institutions and experts, following the real needs of the site. The benefit is that this kind of tools gives to the multi-disciplinary works and projects a shared environment for storing and view a different type of data. They can help both the access intended to the conservation activities and both they can open to the public. The application field is the Sacri Monti circuit, which is part of the UNESCO World Heritage List since 2003. © 2019 International Society for Photogrammetry and Remote Sensing. All rights reserved.

Nowadays, the researchers in Cultural Heritage fields investigate more and more about advanced conservation strategies that comprehend the possibility to share and use 3D models and structured information related to them. One of the modern method adopted to achieve this goal is to use structured web-platform. These are online systems that can handle data, created to contain and support precise information. They simultaneously respond to the need for a common ground for different expert users and of a unique tool where to store several kinds of data, coming from heterogeneous sources. The article aims to show how it is possible to build a valid tool for the conservation and monitoring activities of CH, following the national and international legislation and the specific needs of the application field. In particular, it will deepen the criteria to build a 3D model that has to link a database of information, specifying the logic behind it. In the same way, it will show how to structure a database collaborating with the local institutions and experts, following the real needs of the site. The benefit is that this kind of tools gives to the multi-disciplinary works and projects a shared environment for storing and view a different type of data. They can help both the access intended to the conservation activities and both they can open to the public. The application field is the Sacri Monti circuit, which is part of the UNESCO World Heritage List since 2003.

Novel strategies with NRTIs‐sparing regimen in antiretroviral naïve HIV‐infected patients are currently used in clinical trials [1]. We previously presented preliminary results of this study [2] and here we present the 48‐weeks final results. Prospective, open‐label, randomised (1:1), multicenter, proof‐of‐concept trial. HIV‐infected naïve patients were assigned to once daily maraviroc (MVC) plus lopinavir/ritonavir (LPV/r) or to tenofovir/emtricitabine (TDF/FTC) plus LPV/r. Objectives of the study were the 48‐weeks virological and immunological efficacy. Data were collected at baseline (BL) and at 4, 12, 24, 36 and 48 weeks. T cell subsets from frozen peripheral blood mononuclear cells collected at BL, 4 and 48 weeks were also evaluated. ANOVA for repeated measures performed and Greenhouse‐Geisser probabilities calculated. Results reported as median (Q1–Q3) or frequency (%). Fifty patients (26 in MVC group and 24 in TDF/FTC group) were enrolled and reached week 48. Similar BL characteristics were observed in the two study groups; age: 39.1 (34.2–44) years, 2/50 (4%) females, infected since 2.9 (0.8–5.3) years, CD4+ nadir 266 (242–315) cells/µL, BL CD4+ 295 (260–369) cells/µL; CD4% 18.6 (14.6–23), HIV‐RNA 4.4 (3.9–4.8) log10 copies/mL. At W48, all patients in MVC group and 22/24 (96%) in TDF/FTC group had HIV‐RNA<50 copies/ml (p=0.225). CD4+ trend during follow‐up was different between the two groups (p=0.046) with a higher CD4 gain of 286 (183–343) vs 199 (125–285) cells/mL in MVC and TDF/FTC, respectively (p=0.033). In MVC vs TDF/FTC group, we observed a higher expression of CCR5+CD4+ T cells [W48 change: +7.5% (−4.5/11) vs −5.4 (−15.1/−0.5), p=0.016] and a higher increase of CD4+ effector memory [W48 change: +1.6% (0.7/4.8) vs ‐4.4 (−13.5/−0.2), p=0.007]. No significant variations in naïve and central memory CD4+ T cells. Treatment was well tolerated, without grade 3 or 4 adverse events. No significant difference between the two groups as for the 48‐weeks trend of bone marrow function, AST, ALT and CPK values, creatinine value, glicyde profile (fasting glucose, fasting insuline) and lipid profile (total cholesterol, LDL and HDL cholesterol, tryglicerides). Results are shown in Table 1. In naïve‐patients, virological efficacy and tolerability of a NRTIs‐sparing regimen with maraviroc and lopinavir/ritonavir was similar to conventional treatment in addition to a better immunological recovery, in particular of the Effector Memory CD4+ cells subset.















Baseline
Week 12
Week 24
Week 36
Week 48
p‐valuea




CD4+ cells/mm3
MVC+LPV/r
292 (261–359)
438 (381–500)
517 (432–620)
533 (457–682)
614 (455–709)
0.046



TDF/FTC+LPV/r
297 (257–373)
450 (354–511)
496 (367–568)
470 (402–568)
505 (419–705)



CD4%
MVC+LPV/r
19.5 (16.3–24.3)
24 (18–29.5)
26.2 (22.2–29)
28.2 (21.3–32.2)
27.7 (21.6–33)
0.718



TDF/FTC+LPV/r
18.8 (14.3–22.3)
24.7 (18.4–26.2)
25.2 (21.3–30.1)
24.9 (21.5–31.6)
25.7 (22.1–30.2)



CD4/CD8 ratio
MVC+LPV/r
0.35 (0.25–0.48)
0.45 (0.3–0.62)
0.54 (0.4–0.67)
0.66 (0.4–0.82)
0.72 (0.47–0.93)
0.316



TDF/FTC+LPV/r
0.33 (0.26–0.4)
0.44 (0.33–0.55)
0.51 (0.39–0.66)
0.52 (0.48–0.7)
0.54 (0.49–0.72)



HIV‐RNA log10 copies/ml
MVC+LPV/r
4.42 (4.07–4.84)
1.56 (1.56–1.56)
1.56 (1.56–1.56)
1.56 (1.56–1.56)
1.56 (1.56–1.56)
0.188



TDF/FTC+LPV/r
4.41 (3.84–4.76)
1.56 (1.56–1.56)
1.56 (1.56–1.56)
1.56 (1.56–1.56)
1.56 (1.56–1.56)



Haemoglobin (g/dL)
MVC+LPV/r
14.7 (13.7–15.1)
14 (13.5–14.6)
14.3 (13.7–14.9)
14.1 (13.3–15.1)
14.5 (13.6–15.2)
0.357



TDF/FTC+LPV/r
14.1 (13.8–14.9)
14.4 (13.5–15.1)
14.8 (13.5–15.3)
14.7 (13.7–15.3)
14.7 (13.6–15.2)



White blood cell (109/mm3)
MVC+LPV/r
5 (4.6–5.6)
5.6 (5.2–6.9)
5.8 (4.8–7.2)
5.9 (5–7.7)
5.9 (5–7.5)
0.806



TDF/FTC+LPV/r
4.5 (3.9–5.2)
4.3 (4.3–6.5)
5.1 (4.5–7.1)
5.1 (4.3–6.8)
5.5 (4.4–6.7)



Cholesterol (mg/dl)
MVC+LPV/r
178 (149–204)
–
202 (177–233)
–
218 (167–260)
0.794



TDF/FTC+LPV/r
160 (144–194)
–
189 (157–239)
–
199 (164–239)



Tryglicerides (mg/dl)
MVC+LPV/r
91 (64–126)
–
193 (113–254)
–
170 (105–270)
0.825



TDF/FTC+LPV/r
91 (66–148)
–
159 (106–203)
–
147 (110‐187)



Glucose (mg/dl)
MVC+LPV/r
84 (78–91)
–
86 (75–89)
–
84 (76–93)
0.200



TDF/FTC+LPV/r
81 (75–89)
–
85 (79–92)
–
82 (77–88)



Insulin (U/L)
MVC+LPV/r
5.7 (4–10.2)
–
7 (5.1–8.4)
–
6.8 (5.8–10.8)
0.554



TDF/FTC+LPV/r
7.2 (5.7–14.6)
–
6.8 (5.7–10)
–
5.8 (5.3–9.3)



Creatinine (mg/dl)
MVC+LPV/r
0.83 (0.77–0.95)
0.79 (0.72–0.85)
0.78 (0.69–0.87)
0.78 (0.71–0.86)
0.81 (0.75–0.87)
0.149



TDF/FTC+LPV/r
0.83 (0.78–0.98)
0.88 (0.79–1)
0.85 (0.75–0.93)
0.85 (0.77–0.92)
0.85 (0.74–0.95)