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Breast metastases are uncommon findings compared to primary breast cancer and in particular bilateral secondary breast lesions from neuroendocrine tumor (NET)s are extremely rare with just less over 13 cases described in literature. We reported herewith the case of a 54-year-old woman who presented to our Breast Unit after noticing multiple, mobile, bilateral breast lumps. Imaging studies confirmed the presence of multiple, circumscribed, bilateral breast masses with slightly spiculated margins, classified as suspicious for malignancy (BI-RADS 4). A tru-cut biopsy was carried out on the largest lesion of each side and histopathologic and immunohistochemistry examination was consistent with metastases from pancreatic neuroendocrine tumor (PNET). Total-body CT revealed the presence of a mass located in the pancreatic body - tail with associated abdominal lymphadenopathies and multiple secondary nodules in bilateral breast and in the liver. Stage IV disease was diagnosed, patient did not undergo surgery and started LAR – octreotide therapy. Although rare, breast metastases from NETs represent an important diagnostic challenge for practitioners because of the difficulty to differentiate from a primary breast carcinoma or even from benign breast lesions. Clinicians should be aware of the possibility of bilateral breast metastases in differential diagnosis of breast lesions in order to ensure the correct diagnosis and the most appropriate management of these patients.

La encefalitis por anticuerpos contra el receptor N—metil—D— aspartato (NMDA) es una patología neurológica autoinmune reconocida recientemente en el año 2007 que afecta principalmente a adultos jóvenes, predominantemente mujeres y niños. Un gran porcentaje está asociado a procesos tumorales. Clínicamente los pacientes desarrollan de manera rápida y secuencial síntomas neuropsiquiátricos, crisis convulsivas que progresan hacia un rápido deterioro del nivel de consciencia, mutismo, catatonía y movimientos anormales. Es una patología potencialmente reversible y el grado de secuelas va a depender de la rapidez en el inicio del tratamiento. Se presenta el caso de un paciente joven que debutó con conductas autoagresivas y alucinaciones. Cursó posteriormente con trastornos de memoria y lenguaje, alteraciones conductuales y convulsiones y presentó anticuerpos contra receptores NMDA en el líquido cefalorraquídeo (LCR). Realizó tratamiento con inmunoglobulinas y corticoides con evolución favorable logrando control y no progreso de la enfermedad.

UP4DREAM (UAV Photogrammetry for Developing Resilience and Educational Activities in Malawi) is a cooperative project cofounded by ISPRS between the Polytechnic University of Turin and the United Nations Children Fund (UNICEF) Malawi, with the support of two local Universities (Lilongwe University of Agriculture and Natural Resources, and Mzuzu University), and Agisoft LLC (for the use of their photogrammetry and computer vision software suite). Malawi is a flood-prone landlocked country constantly facing natural and health challenges, which prevent the country's sustainable socio-economic development. Frequent naturals shocks leave vulnerable communities food insecure. Moreover, Malawi suffers from high rates of HIV, as well as it has endemic malaria. The UP4DREAM project focuses on one of the drone project's critical priorities in Malawi (Imagery). It aims to start a capacity-building initiative in line with other mapping missions in developing countries, focusing on the realization and management of large-scale cartography (using GIS - Geographic Information Systems) and on the generation of 3D products based on the UAV-acquired data. The principal aim of UP4DREAM is to ensure that local institutions, universities, researchers, service companies, and manufacturers operating in the humanitarian drone corridor, established by UNICEF in 2017, will have the proper knowledge and understanding of the photogrammetry and spatial information best practices, to perform large-scale aerial data acquisition, processing, share and manage in the most efficient, cost-effective and scientifically rigorous way.

This study describes some tests carried out, within the European project (reference call: MANUNET III 2018, project code: MNET18/ICT-3438) called SEI (Spectral Evidence of ice), for the geometrical ice detection on airplane wings. The purpose of these analysis is to estimate thickness and shape of the ice that an RGB sensor is able to detect on large aircrafts as Boeing 737-800. However, field testing are not available yet, therefore, in order to simulate the final configuration, a steel panel has been used to reproduce the aircraft surface. The adopted methodology consists in defining a reference surface and modelling its 3D shape with and without ice through photogrammetric acquisitions collected by a DJI Mavic Air drone hosting a RGB camera and processed by Agisoft Metashape software. The comparison among models with and without the ice has been presented and results show that it is possible to identify the ice, even though some noise still remains due to the geometric reconstruction itself. Finally, using 3dReshaper and Matlab software, the authors develop various analysis defining the operative limits, the processing time, the correct setting up of Metashape for a more accurate ice detection, the optimization of the methodology in terms of processing time, precision and completeness. The procedure can certainly be more reliable considering the usage of the hyperspectral sensor technique as future implementation.

Climate change is already affecting the entire world, with extreme weather conditions such as drought, heat waves, heavy rain, floods and landslides becoming more frequent, including Europe. In according to Paris agreement and relative European announcement of Carbon neutrality (by 2050), the saving of water and energy supplies is a fundamental aspect in the management of resources in production, sports, hospitality facilities and so on. Some methodologies for the optimization of the consumption of natural resources are required. This article describes an activity aimed at measuring, monitoring and analysing the thickness of the snowpack on the ski slopes during the winter season to permit a sustainable approach of snowmaking in alpine ski areas . The authors propose a methodology based on the integration of multitemporal surface (ground/snow) survey by Autonomous Aerial Vehicle (AAV) and low cost GNSS receivers mounted on snow groomers for a RTK (Real Time Kinematic) solution. To obtain a complete snow surface digital models with poor detailed images on ski slopes, some pre-processing techniques have been analysed to locally improve contrast and details with a local high pass filtering. The methodology has been employed in two study areas (Limone Piemonte, Prato Nevoso) located in the province of Cuneo, in the southern alpine area of Piedmont.

One of the major challenges in precision viticulture in Europe is the detection and mapping of flavescence dorée (FD) grapevine disease to monitor and contain its spread. The lack of effective cures and the need for sustainable preventive measures are nowadays crucial issues. Insecticides and the plants uprooting are commonly employed to withhold disease infection, even if these solutions imply serious economic consequences and a strong environmental impact. The development of a rapid strategy to identify the disease is required to cover large portions of the crop and thus to limit damages in a time-effective way. This paper investigates the use of Unmanned Aerial Vehicles (UAVs), a cost-effective approach to early detection of diseased areas. We address this task with an object detection deep network, Faster R-CNN, instead of a traditional pixel-wise classifier. This work tests Faster R-CNN performance on this specific application through a comparative analysis with a pixel-wise classification algorithm (Random Forest). To take advantage of the full image resolution, the experimental analysis is performed using the original UAV imagery acquired in real conditions (instead of the derived orthomosaic). The first result of this paper is the definition of a new dataset for FD disease identification by UAV original imagery at the canopy scale. Moreover, we demonstrate the feasibility of applying Faster-R-CNN as a quasi-real-time alternative solution to semantic segmentation. The trained Faster-R-CNN achieved an average precision of 82% on the test set.

In this paper, we present a publicly available benchmark dataset on multisensorial indoor mapping and positioning (MiMAP), which is sponsored by ISPRS scientific initiatives. The benchmark dataset includes point clouds captured by an indoor mobile laser scanning system in indoor environments of various complexity. The benchmark aims to stimulate and promote research in the following three fields: (1) LiDAR-based Simultaneous Localization and Mapping (SLAM); (2) automated Building Information Model (BIM) feature extraction; and (3) multisensory indoor positioning. The MiMAP project provides a common framework for the evaluation and comparison of LiDAR-based SLAM, BIM feature extraction, and smartphone-based indoor positioning methods. This paper describes the multisensory setup, data acquisition process, data description, challenges, and evaluation metrics included in the MiMAP project.

Background To further characterize survival benefit with first-line nivolumab plus ipilimumab with two cycles of chemotherapy versus chemotherapy alone, we report updated data from the phase III CheckMate 9LA trial with a 2-year minimum follow-up. Patients and methods Adult patients were treatment naïve, with stage IV/recurrent non-small-cell lung cancer, no known sensitizing EGFR/ALK alterations, and an Eastern Cooperative Oncology Group performance status ≤1. Patients were randomized 1 : 1 to nivolumab 360 mg every 3 weeks plus ipilimumab 1 mg/kg every 6 weeks with two cycles of chemotherapy, or four cycles of chemotherapy. Updated efficacy and safety outcomes are reported, along with progression-free survival (PFS) after next line of treatment (PFS2), treatment-related adverse events (TRAEs) by treatment cycle, and efficacy outcomes in patients who discontinued all treatment components in the experimental arm due to TRAEs. Results With a median follow-up of 30.7 months, nivolumab plus ipilimumab with chemotherapy continued to prolong overall survival (OS) versus chemotherapy. Median OS was 15.8 versus 11.0 months [hazard ratio 0.72 (95% confidence interval 0.61-0.86)]; 2-year OS rate was 38% versus 26%. Two-year PFS rate was 20% versus 8%. ORR was 38% versus 25%, respectively; 34% versus 12% of all responses were ongoing at 2 years. Median PFS2 was 13.9 versus 8.7 months. Improved efficacy outcomes in the experimental versus control arm were observed across most subgroups, including by programmed death-ligand 1 and histology. No new safety signals were observed; onset of grade 3/4 TRAEs was mostly observed during the first two treatment cycles in the experimental arm. In patients who discontinued all components of nivolumab plus ipilimumab with chemotherapy treatment due to TRAEs (n = 61) median OS was 27.5 months; 56% of responders had an ongoing response ≥1 year after discontinuation. Conclusions With a 2-year minimum follow-up, nivolumab plus ipilimumab with two cycles of chemotherapy provided durable efficacy benefits over chemotherapy with a manageable safety profile and remains an efficacious first-line treatment of advanced non-small-cell lung cancer., Highlights • Nivolumab + ipilimumab + two cycles of chemotherapy (chemo) significantly prolonged survival versus chemo in first-line advanced NSCLC. • At 2 years, overall survival benefits were durable with nivolumab + ipilimumab + chemo versus chemo. • Benefits of nivolumab + ipilimumab + chemo were seen across most patient subgroups, including by PD-L1 and histology. • Discontinuing nivolumab + ipilimumab + chemo due to treatment-related AEs did not negatively impact long-term benefits. • Nivolumab + ipilimumab + two cycles of chemo is an efficacious first-line treatment option for advanced non-oncogene-driven NSCLC.

Windstorms represent one of the main large-scale disturbances that shape the European landscape and influence its forest structure, so post-event restoration activities start to gain a major role in mountainous forest management. After a disturbance event, biological legacies may enhance or maintain multiple ecosystem services of mountain forests such as protection against natural hazards, biodiversity conservation, or erosion mitigation. However, the conservation of all these ecosystem services after stand-replacing events could go against traditional management practices, such as salvage logging. Thus far, the impact of salvage logging and removal of biological legacies on the protective function of mountain stands has been poorly studied. Structural biological legacies may provide protection for natural regeneration and may also increase the terrain roughness providing a shielding effect against gravitational hazards like rockfall. The aim of this project is to understand the dynamics of post-windthrow recovery processes and to investigate how biological legacies affect the multifunctionality of mountain forests, in particular the protective function. To observe the role of biological legacies we performed 3000 simulations of rockfall activity on windthrown areas. Results show the active role of biological legacies in preventing gravitational hazards, providing a barrier effect and an energy reduction effect on rockfall activity. To conclude, we underline how forest management should take into consideration the protective function of structural legacies. A suggestion is to avoid salvage logging in order to maintain the multifunctionality of damaged stands during the recovery process.

Despite photogrammetry has been longly used for 3D model production, the recent development of structure from motion based reconstructions and the spread of unmanned aerial vehicles (UAV) are increasing its usage even further. Actually, the combined use of nadir and oblique UAV photogrammetry allows to cross the bridge between close range and aerial photogrammetry, enabling the quick acquisition of images for detailed 3D model production. This paper assesses the accuracy of UAV photogrammetry in the reconstruction of a cultural heritage building, namely the Girifalco fortress (Cortona, Italy), and it evaluates advantages and issues of this kind of 3D model generation. Furthermore, this work aims also at investigating the possible use of the generated model in order to extract geometric information about the building. First, elementary geometric shapes are extracted from the photogrammetric point cloud: the results of this step can be exploited for enabling the automatic generation of compact models of the building, which can be useful for instance in 3D city modeling applications. Then, a proper analysis of the geometric information included in the extracted shapes can be used in order to extract semantic information (e.g. to classify windows and doors) and to detect damaged areas on the building walls.

Simple Summary The marine drug lurbinectedin revealed an unprecedented efficacy against patient-derived malignant pleural mesothelioma cells, regardless of the histological type and the BAP1 mutation status. By inducing strong DNA damages, it dramatically arrested cell cycle progression and induced apoptosis. These results may be translated into the use of lurbinectedin as an effective agent for malignant pleural mesothelioma patients. Abstract Background: Malignant pleural mesothelioma (MPM) is a highly aggressive cancer generally diagnosed at an advanced stage and characterized by a poor prognosis. The absence of alterations in druggable kinases, together with an immune-suppressive tumor microenvironment, limits the use of molecular targeted therapies, making the treatment of MPM particularly challenging. Here we investigated the in vitro susceptibility of MPM to lurbinectedin (PM01183), a marine-derived drug that recently received accelerated approval by the FDA for the treatment of patients with metastatic small cell lung cancer with disease progression on or after platinum-based chemotherapy. Methods: A panel of primary MPM cultures, resembling the three major MPM histological subtypes (epithelioid, sarcomatoid, and biphasic), was characterized in terms of BAP1 status and histological markers. Subsequently, we explored the effects of lurbinectedin at nanomolar concentration on cell cycle, cell viability, DNA damage, genotoxic stress response, and proliferation. Results: Stabilized MPM cultures exhibited high sensitivity to lurbinectedin independently from the BAP1 mutational status and histological classification. Specifically, we observed that lurbinectedin rapidly promoted a cell cycle arrest in the S-phase and the activation of the DNA damage response, two conditions that invariably resulted in an irreversible DNA fragmentation, together with strong apoptotic cell death. Moreover, the analysis of long-term treatment indicated that lurbinectedin severely impacts MPM transforming abilities in vitro. Conclusion: Overall, our data provide evidence that lurbinectedin exerts a potent antitumoral activity on primary MPM cells, independently from both the histological subtype and BAP1 alteration, suggesting its potential activity in the treatment of MPM patients.

The Main10ance project aims to implement a plan of maintenance and conservation of the historical cultural heritage. This is an INTERREG project. The V-A Cooperation Programme Italy-Switzerland 2014-2020 contributes to the objectives of the Europe 2020 Strategy and the New Swiss Regional Policy (NRP)addressing the needs common to both sides of the border and aiming to generate significant change in the area of cooperation, both in terms of increasing competitiveness and strengthening economic and social cohesion. The case study is the system of the Sacri Monti of northern Italy and Switzerland, groups of chapels and other architectural artifacts. The design phases are divided into: survey of the historical architectural heritage present; data processing and realization of three-dimensional models with the help of BIM software; integration of the same in the geographical context through GIS support; creation of a database which creates interoperability between the various domains and which collects information on the characteristics of the goods for maintenance and conservation purposes; possibility to make the information associated with 3D models accessible through demonstrators that allow interrogation of the DB and the models themselves. The geometric representation respects the subdivision of the levels of detail (LOD) for GIS with the standard CityGML and the levels of development (LOD) for BIM with the UNI 11337/4.

This paper reports a semi-automated workflow for detection and quantification of forest damage from windthrow in an Alpine region, in particular from the Vaia storm in October 2018. A web-GIS platform allows to select the damaged area by drawing polygons; several vegetation indices (VIs) are automatically calculated using remote sensing data (Sentinel-2A) and tested to identify the more suitable ones for quantifying forest damage using cross-validation with ground-truth data. Results show that the mean value of NDVI and NDMI decreased in the damaged areas, and have a strong negative correlation with severity. RGI has an opposite behavior in contrast with NDVI and NDMI, as it highlights the red component of the land surface. In all cases, variance of the VI increases after the event between 0.03 and 0.15. Understorey not damaged from the windthrow, if consisting of 40% or more of the total cover in the area, undermines significantly the sensibility of the VIs to detecting and predicting severity. Using aggregational statistics (average and standard deviation) of VIs over polygons as input to a machine learning algorithm, i.e., Random Forest, results in severity prediction with regression reaching a root mean square error (RMSE) of 9.96, on a severity scale of 0–100, using an ensemble of area averages and standard deviations of NDVI, NDMI, and RGI indices. The results show that combining more than one VI can significantly improve the estimation of severity, and web-GIS tools can support decisions with selected VIs. The reported results prove that Sentinel-2 imagery can be deployed and analysed via web-tools to estimate forest damage severity and that VIs can be used via machine learning for predicting severity of damage, with careful evaluation of the effect of understorey in each situation.

The chapter summarizes information on the importance of arbuscular mycorrhizal fungi (AMF) in agriculture in order to obtain healthier, better, and functional food. These symbiotic fungi are of fundamental importance in organic and sustainable agriculture where fertilization and other chemical inputs can be strongly decreased. The intensive use of these substances in large-scale agriculture has negative effects on, or can even exclude, AMF. It is possible to limit both fertilization and input of other chemical agents by the reintroduction or enhancement of AMF diversity. AMF efficiency can be improved by other soil microbiota which, similar to AMF, are biostimulants. The types and importance of these microbes have been described and their functional complementarity shown. The selection of synergistic microbial consortia (phytomicrobiome) also offers the possibility to improve plant adaptation to difficult habitat conditions. In spite of their potential for practical applications in agriculture, a suitable biotechnology for the large-scale development and use of AMF inocula remains an economical and societal challenge.

The present work aims to demonstrate how machine learning (ML) techniques can be used for automatic feature detection and extraction in fluvial environments. The use of photogrammetry and machine learning algorithms has improved the understanding of both environmental and anthropic issues. The developed methodology was applied considering the acquisition of multiple photogrammetric images thanks to unmanned aerial vehicles (UAV) carrying multispectral cameras. These surveys were carried out in the Salbertrand area, along the Dora Riparia River, situated in Piedmont (Italy). The authors developed an algorithm able to identify and detect the water table contour concerning the landed areas: the automatic classification in ML found a valid identification of different patterns (water, gravel bars, vegetation, and ground classes) in specific hydraulic and geomatics conditions. Indeed, the RE+NIR data gave us a sharp rise in terms of accuracy by about 11% and 13.5% of F1-score average values in the testing point clouds compared to RGB data. The obtained results about the automatic classification led us to define a new procedure with precise validity conditions.

Erratum in Correction to Lancet Oncol 2021; 22: 198-211. [No authors listed] Lancet Oncol. 2021 Mar;22(3):e92. doi: 10.1016/S1470-2045(21)00082-6. PMID: 33662299 No abstract available.; International audience; Background: First-line nivolumab plus ipilimumab has shown improved overall survival in patients with advanced non-small-cell lung cancer (NSCLC). We aimed to investigate whether the addition of a limited course (two cycles) of chemotherapy to this combination would further enhance the clinical benefit.Methods: This randomised, open-label, phase 3 trial was done at 103 hospitals in 19 countries. Eligible patients were aged 18 years or older with treatment-naive, histologically confirmed stage IV or recurrent NSCLC, and an Eastern Cooperative Oncology Group performance status of 0-1. Patients were randomly assigned (1:1) by an interactive web response system via permuted blocks (block size of four) to nivolumab (360 mg intravenously every 3 weeks) plus ipilimumab (1 mg/kg intravenously every 6 weeks) combined with histology-based, platinum doublet chemotherapy (intravenously every 3 weeks for two cycles; experimental group), or chemotherapy alone (every 3 weeks for four cycles; control group). Randomisation was stratified by tumour histology, sex, and PD-L1 expression. The primary endpoint was overall survival in all randomly assigned patients. Safety was analysed in all treated patients. Results reported here are from a pre-planned interim analysis (when the study met its primary endpoint) and an exploratory longer-term follow-up analysis. This study is active but no longer recruiting patients, and is registered with ClinicalTrials.gov, number NCT03215706.Findings: Between Aug 24, 2017, and Jan 30, 2019, 1150 patients were enrolled and 719 (62·5%) randomly assigned to nivolumab plus ipilimumab with two cycles of chemotherapy (n=361 [50%]) or four cycles of chemotherapy alone (n=358 [50%]). At the pre-planned interim analysis (median follow-up 9·7 months [IQR 6·4-12·8]), overall survival in all randomly assigned patients was significantly longer in the experimental group than in the control group (median 14·1 months [95% CI 13·2-16·2] vs 10·7 months [9·5-12·4]; hazard ratio [HR] 0·69 [96·71% CI 0·55-0·87]; p=0·00065). With 3·5 months longer median follow-up (median 13·2 months [IQR 6·4-17·0]), median overall survival was 15·6 months (95% CI 13·9-20·0) in the experimental group versus 10·9 months (9·5-12·6) in the control group (HR 0·66 [95% CI 0·55-0·80]). The most common grade 3-4 treatment-related adverse events were neutropenia (in 24 [7%] patients in the experimental group vs 32 [9%] in the control group), anaemia (21 [6%] vs 50 [14%]), diarrhoea (14 [4%] vs two [1%]), increased lipase (22 [6%] vs three [1%]), and asthenia (tjree [1%] vs eight [2%]). Serious treatment-related adverse events of any grade occurred in 106 (30%) patients in the experimental group and 62 (18%) in the control group. Seven (2%) deaths in the experimental group (acute kidney failure, diarrhoea, hepatotoxicity, hepatitis, pneumonitis, sepsis with acute renal insufficiency, and thrombocytopenia; one patient each) and six (2%) deaths in the control group (anaemia, febrile neutropenia, pancytopenia, pulmonary sepsis, respiratory failure, and sepsis; one patient each) were treatment related.Interpretation: Nivolumab plus ipilimumab with two cycles of chemotherapy provided a significant improvement in overall survival versus chemotherapy alone and had a favourable risk-benefit profile. These data support this regimen as a new first-line treatment option for patients with advanced NSCLC.Funding: Bristol Myers Squibb.

Aircraft ground de-icing operations play a critical role in flight safety. However, to handle the aircraft de-icing, a considerable quantity of de-icing fluids is commonly employed. Moreover, some pre-flight inspections are carried out with engines running, thus, a large amount of fuel is wasted, and CO2 is emitted. This implies substantial economic and environmental impacts. In this context, the European project (reference call: MANUNET III 2018, project code: MNET18/ICT-3438) called SEI (Spectral Evidence of Ice) aims to provide innovative tools to identify the ice on aircraft and improve the efficiency of the de-icing process. The project includes the design of a low-cost UAV (uncrewed aerial vehicle) platform and the development of a quasi-real-time ice detection methodology to ensure a faster and semi-automatic activity with a reduction of applied operating time and de-icing fluids. The purpose of this work, developed within the activities of the project, is defining and testing the most suitable sensor using a radiometric approach and machine learning algorithms. The adopted methodology consists of classifying ice through spectral imagery collected by two different sensors: multispectral and hyperspectral camera. Since the UAV prototype is under construction, the experimental analysis was performed with a simulation dataset acquired on the ground. The comparison among the two approaches, and their related algorithms (random forest and support vector machine) for image processing, was presented: practical results show that it is possible to identify the ice in both cases. Nonetheless, the hyperspectral camera guarantees a more reliable solution reaching a higher level of accuracy of classified iced surfaces.

Myectomy of the four horizontal rectus muscles for infantile nystagmus syndrome without a null point may improve visual acuity and quality of life. Exotropia and adduction loss are complications of this procedure, although abduction is typically preserved. We investigated whether adduction loss may be rescued by reestablishing the attachment of the anterior intermuscular septum (AIMS) to the globe at the medial rectus insertion. We present 2 cases of exotropia and adduction loss following myectomy and transposition surgery, where the nasal AIMS and the medial rectus insertion site were joined with nonabsorbable polyester suture. Both patients experienced improvements in eye alignment and adduction. Based on radiologic observations of the posterior displacement of the pulley, or posterior intermuscular septum (PIMS), with medial rectus contraction, we hypothesize that adduction and alignment were improved by providing an anterior site of action for the posterior movement of the PIMS.

Vitis vinifera L. is an economically important crop that can be influenced by soil microorganisms, including arbuscular mycorrhizal fungi (AMF), that establish symbiotic associations with its roots. AMF have beneficial effects on grapevine performance improving water use efficiency and replant success. Most grapevine varieties are susceptible to various diseases, and integrated pest management (IPM) is one of the emerging approaches to perform pest control. In the present study, we examined the AMF communities present in the soil associated to the roots of V. vinifera cv. Pinot Noir (comparing them to those present in a soil not affected by grapevine roots), in a vineyard subjected to IPM at two different phenological stages, using 454 Roche sequencing technology. We proposed a new approach to analyze sequencing data. Most of the taxa were included in the family Glomeraceae. In particular, Glomus sp. Rhizophagus sp. and Septoglomus viscosum were present. The family Archeosporaceae was represented only by the genus Archeospora sp. Different AMF communities were found in the two soils and the importance of the phenological stage in regulating AMF biodiversity was assessed.

Chronic rhinosinusitis (CRS) includes two main phenotypes: without nasal polyps (CRSsNP) and with nasal polyps (CRSwNP). CRSwNP may be associated with comorbidity, mainly concerning asthma, aspirin intolerance, and allergy. CRSwNP patients may also be evaluated by clinical-cytological grading (CCG). The current study investigated the prevalence and characteristics of the different CCG and phenotypes in CRSwNP outpatients examined in clinical practice. This retrospective cross-sectional study enrolled 791 consecutive CRSwNP outpatients (424 males, mean age 48.8 years). In the total population, asthma was a common comorbidity (30.8%) as well as aspirin intolerance (24.8%), and allergy (50.8%). As concerns CCG-grading, 210 (26.5%) outpatients had low-grade, 366 (46.3%) medium, and 215 (27.2%) high. As regards cytological phenotypes, 87 (11%) had neutrophilic type, 371 (46.3%) eosinophilic, 112 (14.2%) mast cell, and 221 (27.9%) mixed. High-grade CCG was significantly associated with more frequent asthma, aspirin intolerance, allergy, recurrent surgery, and mixed cytological phenotype. Low-grade CCG was characterized by fewer comorbidities and operations, and neutrophilic phenotype. Therefore, the present study confirmed that CCG is a useful tool in the management of outpatients with CRSwNP. CRSwNP is frequently associated with asthma, aspirin intolerance, and allergy comorbidity. High-grade CCG is frequently characterized by a mixed cytological phenotype, thus, by more severe progress. These real-world outcomes underline that CRSwNP deserves adequate attention for careful management and optimal identification of the best-tailored therapy; CCG and cytological phenotyping could be fruitful tools in clinical practice. Asthma and aspirin intolerance should be adequately investigated in all CRS patients.

Tumor suppressors play an important role in cancer pathogenesis and in the modulation of resistance to treatments. Loss of function of the proteins encoded by tumor suppressors, through genomic inactivation of the gene, disable all the controls that balance growth, survival, and apoptosis, promoting cancer transformation. Parallel to genetic impairments, tumor suppressor products may also be functionally inactivated in the absence of mutations/deletions upon post-transcriptional and post-translational modifications. Because restoring tumor suppressor functions remains the most effective and selective approach to induce apoptosis in cancer, the dissection of mechanisms of tumor suppressor inactivation is advisable in order to further augment targeted strategies. This review will summarize the role of tumor suppressors in chronic lymphocytic leukemia and attempt to describe how tumor suppressors can represent new hopes in our arsenal against chronic lymphocytic leukemia (CLL).

This study describes the technical-systemic and conceptual-informative interoperability tests for the integration of a Historic Building Information Modeling (HBIM) model in a 3D Geographic Information System (GIS) environment aimed to provide complete and useful documentation for multiscale analyses on cultural heritage particularly exposed to risks. The case study of the San Lorenzo Church in Norcia (Italy) has been chosen given the urgent need to update the existing documentation for its protection and conservation issues, due to the extensive damage suffered after the series of earthquakes that occurred in central Italy starting from summer 2016. Different tests to evaluate two levels of conceptual interoperability (technical and semantic) when importing the HBIM model into a GIS environment were performed, whether with commercial software or with open source ones (ArcGIS Pro and QGIS, respectively). A data integration platform (Feature Manipulation Engine, FME) has been used for converting the IFC (Industry Foundation Classes) data format into the GML (Geography Markup Language) format, in order to obtain a unique and unified model and vocabulary for the 3D GIS project, structured with different levels of detail, according to CityGML standard. Finally, as HBIM-GIS integration is considered, the loss of geometric and informative data has been taken into account and evaluated.

In the last decades, the development of geomatics and geomechanics techniques integration in the environmental field permits to obtain more detailed and accurate results, reducing the survey costs. The aim of the present work was aimed to apply these innovative combined methods and techniques in order to gain a detailed analysis of landslide hazard and on the stability condition of rocky slopes, to get useful information for subsequent design and feasibility planning of Vallone d’Elva road. During two different surveys period, geostructural surveys were carried out in situ (i.e. spatial orientation of discontinuity planes, their spacing and persistence), associated with geomatics surveys using drones (UAV technique – Unmanned Aerial Vehicle) and terrestrial photogrammetric technique to get high-resolution images of the rockwalls along the road in areas with complex orography and inaccessible. Their data processing has allowed the generation of different kind of data at different scales, like some 3D dense point clouds with a huge definition, which have been used to generate three-dimensional surfaces models. This procedure has allowed obtaining DSM (Digital Surface Model), DTMs (Digital Terrain Models) and orthophotos with centimetre resolution (mean 4 cm). Moreover, to identify the geomechanical rockmasses features, have been computed a new photogrammetric product on 16 specific rockwall sites along the road: “vertical orthophotos”, with details of few mm. Besides, over then twenty detailed DTMs of rockwalls along the entire road have been generated to measure plane orientation, spacing and other geometrical characteristics of outcropping rock masses, which have been statistically collected and analysed.

Considering the importance of forest fires problem in Italy, It is essential to improve the tools available for forest fire prevention, beginning with a correct and detailed fire risk evaluation. At present most part of forest fire plans at national level, do not consider, when dealing with forest fire risk analysis, fire’s behavior and potential propagation (or consider them only using empirical models). This study shows the methodology used by the Veneto Region for the characterization and mapping of forest fire risk at regional level. The application of forest fire propagation simulation allowed the creation of very detailed maps and the acquisition of important information about potential fire intensity, something not possible using only empirical methods

The lack of benchmarking data for the semantic segmentation of digital heritage scenarios is hampering the development of automatic classification solutions in this field. Heritage 3D data feature complex structures and uncommon classes that prevent the simple deployment of available methods developed in other fields and for other types of data. The semantic classification of heritage 3D data would support the community in better understanding and analysing digital twins, facilitate restoration and conservation work, etc. In this paper, we present the first benchmark with millions of manually labelled 3D points belonging to heritage scenarios, realised to facilitate the development, training, testing and evaluation of machine and deep learning methods and algorithms in the heritage field. The proposed benchmark, available at http://archdataset.polito.it/, comprises datasets and classification results for better comparisons and insights into the strengths and weaknesses of different machine and deep learning approaches for heritage point cloud semantic segmentation, in addition to promoting a form of crowdsourcing to enrich the already annotated database.

Regional designing envisions and develops possible and desirable regional future scenarios, including how they can come about. It is a particular envisioning method used to draw up strategic spatial plans and, as such, is closely entwined with spatial planning. Regional designing has become a regular practice in the Netherlands, which is the context explored in this chapter. Dutch regional design practice teaches us that, like other kinds of designing, regional designing is highly contextual. It adapts and responds to the characteristics of a situation. Regional design projects build on a thorough understanding of the planning situation and the issues at hand, and they are tailor-made to fit that situation. In turn, regional designing aims to enhance the planning situation. It affects and influences the aims of planning, the planning process and/or the conditions of spatial planning. These effects arise from an iterative regional design process in which the expertise of the designer(s), the interaction with stakeholders and a proper embeddedness in its context are critical factors. Relationships and networks, as well as mutual understanding and shared concepts develop during the regional design process. They become strong assets in pressurised spatial planning situations that need to adapt and change their organisational structure.

In the Digital Cultural Heritage (DCH) domain, the semantic segmentation of 3D Point Clouds with Deep Learning (DL) techniques can help to recognize historical architectural elements, at an adequate level of detail, and thus speed up the process of modeling of historical buildings for developing BIM models from survey data, referred to as HBIM (Historical Building Information Modeling). In this paper, we propose a DL framework for Point Cloud segmentation, which employs an improved DGCNN (Dynamic Graph Convolutional Neural Network) by adding meaningful features such as normal and colour. The approach has been applied to a newly collected DCH Dataset which is publicy available: ArCH (Architectural Cultural Heritage) Dataset. This dataset comprises 11 labeled points clouds, derived from the union of several single scans or from the integration of the latter with photogrammetric surveys. The involved scenes are both indoor and outdoor, with churches, chapels, cloisters, porticoes and loggias covered by a variety of vaults and beared by many different types of columns. They belong to different historical periods and different styles, in order to make the dataset the least possible uniform and homogeneous (in the repetition of the architectural elements) and the results as general as possible. The experiments yield high accuracy, demonstrating the effectiveness and suitability of the proposed approach.

Recent results within the framework of the collaborative project The Complete Geophysical Survey of the Valley of the Kings (VOK) (Luxor, Egypt) are reported in this article. In October 2018, a team of geomatics and geophysics researchers coordinated by the Polytechnic University of Turin worked side by side in the VOK. Topographic measurements in support of geophysical surveys and the achievement of a very large-scale 3D map of the Eastern VOK were the two main objectives of the geomatics campaign. Innovative 3D metric technologies and methods, based on terrestrial laser scanning (both static and mobile) and close-range photogrammetry were employed by the Geomatics team. The geophysical campaign focused on the acquisition of Electrical Resistivity Tomography (ERT), Ground Penetrating Radar (GPR) and high spatial density Geomagnetic (GM) data. ERT new data around KV62, both inverted in 2D sections and added to the previous ones to perform a new global 3D inversion, confirm the previous results showing both conductive and resistive anomalies that have to be explained. GPR timeslices showed some interesting features in the area in front of the KV2 entrance where GM gradient map also presents localized anomalies. In the area SSW of the KV2 the GM gradient maps evidenced also a large semicircular anomaly which, up to now, has no explanation. The potentialities of using magnetic techniques as a complement to other non-invasive techniques in the search for structures of archeological significance have been explored. The application of modern and innovative methods of 3D metric survey enabled to achieve a complete 3D mapping of what is currently visible in the valley. The integration of 2D/3D mapping data concerning visible elements and hypothetical anomalies, together with the recovering in the same global reference system of underground documentation pertaining to the Theban Mapping Project, prefigure the enhancement of multi-temporal site representation. This strategy enables the fruition development of the already discovered archaeological heritage, using modern criteria of valorization and conservation.

The set of laws, actions and organizations for Cultural Heritage (CH) protection is born in the different countries of the European Union from local cultural situations, so the ability to cope with the emergency is certainly different. In addition to the damages that can occur to cultural assets after a disaster, an inadequate emergency intervention can sometimes cause further losses to the CH. The effectiveness of response depends on the adequacy of advanced planning. Some countries have designed emergency plans but their databases (DBs) are fragmented, incomplete and not standardized. It is thus necessary to establish a DB for emergency assistance and maps of CH at risk to be compared with maps of natural hazards and risks, in order to take preventive and operational measures, as well as agree on a common terminology and international standards. The project aims to enhance the capability of Civil Protection to prevent disasters impacts on CH by implementing a European Interoperable Database (EID) as supporting decision tool to understand the risk of damage to cultural assets. The EID, starting from the international standards to represent the map objects (CityGML, INSPIRE), the classification of CH in Europe (UNESCO), in Italy (MiBACT), in Germany and in France and from risks and disasters analysis, will design, with its Conceptual Data Model, an extension of the INSPIRE UML model. This DB will also support 3D models to help finding and recognizing dispersed artworks and facilitate a post-emergency restoration, preserving thus a digital memory in case of destruction.

Eribulin is a synthetic analog of halichondrin B belonging to microtubule-targeted agents with a distinct mechanism of inhibition of microtubule dynamics. This molecule has multiple nonmitotic effects on tumor biology, exhibiting effects on epithelial–mesenchimal transition and tumor vasculature. We review here preclinical and clinical studies on eribulin. The mitotic and nonmitotic effects together with its favorable safety profile make eribulin a unique drug with high potential in the treatment of metastatic breast cancer. The new emphasis of eribulin mechanism of action on vascular remodeling, microenvironment modifications and reversal of epithelial–mesenchimal transition paves the way to rethinking the use of the drug in an immunological perspective.

Every year, there are almost 50,000 forest fires in Europe (127/day), which have burned an area equal to more than 450,000 ha. An effective management of forest fires is therefore fundamental in order to reduce the number of the fires and, especially, the related burned areas, preserving the environment and saving human lives. However, some problems still exist in the structure of information and in the harmonization of data and fire management procedures among different European countries. Pursuing the same interoperability aims, the European Union has invested in the development of the INSPIRE Directive (Infrastructure for Spatial Information in Europe) to support environmental policies. Furthermore, the EU (European Union) is currently working on developing ad hoc infrastructures for the safe management of forests and fires. Moving from this premises and following an analysis of the state of the art of information systems for forest fire-fighting, in the light of the end-user requirements, the paper presents the INSPIRE—compliant design of a geographical information system, implemented using open-source platforms.

This work describes the different attempts and the consequent results derived from the integration of an HBIM model into an already structured spatial database (DB) and its 3D visualisation in a GIS project.This study is connected to the European ResCult (Increasing Resilience of Cultural Heritage) project where a DB for multiscale analyses was defined. To test the methodology proposed, the case study of Santa Maria dei Miracoli church in Venice was chosen since it represents a complex architectural heritage piece in a risk zone, it has been subject to a vast restoration intervention in the recent past but a digital documentation and model concerning it was missing.The 3D model of the church was structured in Revit as a HBIM, with the association of different kind of information and data related to the architectural elements by means of ‘shared parameters’ and ‘system families’. This procedure allows to reach an even higher Level of Detail (LOD4), but lead to some issues related to the semantic and software interoperability. To solve these problems the existing DB for the resilience of cultural heritage was extended adding a new entity representing the architectural elements designed in the BIM project.The aim of the test is to understand how the data and attributes inserted in the HBIM are converted and handled when dealing with a GIS DB, stepping from the IFC to the CityGML standard, through the FME software.

Thanks to the recent worldwide spread of drones and to the development of structure from motion photogrammetric software, UAV photogrammetry is becoming a convenient and reliable way for the 3D documentation of built heritage. Hence, nowadays, UAV photogrammetric surveying is a common and quite standard tool for producing 3D models of relatively large areas. However, when such areas are large, then a significant part of the generated point cloud is often of minor interest. Given the necessity of efficiently dealing with storing, processing and analyzing the produced point cloud, some optimization step should be considered in order to reduce the amount of redundancy, in particular in the parts of the model that are of minor interest. Despite this can be done by means of a manual selection of such parts, an automatic selection is clearly much more viable way to speed up the final model generation. Motivated by the recent development of many semantic classification techniques, the aim of this work is investigating the use of point cloud optimization based on semantic recognition of different components in the photogrammetric 3D model. The Girifalco Fortress (Cortona, Italy) is used as case study for such investigation. The rationale of the proposed methodology is clearly that of preserving high point density in the model in the areas that describe the fortress, whereas point cloud density is dramatically reduced in vegetated and soil areas. Thanks to the implemented automatic procedure, in the considered case study, the size of the point cloud has been reduced by a factor five, approximately. It is worth to notice that such result has been obtained preserving the original point density on the fortress surfaces, hence ensuring the same capabilities of geometric analysis of the original photogrammetric model.

A novel quasi flat-roofed sine waveguide slow wave structure (SWS) is presented for the wideband high-power terahertz traveling-wave tube (TWT). The quasi flat-roofed sine waveguide SWS (QFRSWG TWT) possesses the similar slow-wave characteristics with the flat-roofed sine waveguide SWS in the frequency range of 0.2-0.26THz. The beam-wave interaction results indicate that the TWT based upon this QFRSWG can generate the output power of 136W at 220GHz by using the sheet electron beam of 20.8kV and 100mA.

The aim of this study was to investigate the interest of forestry workers, who operate in the Western Italian Alps, in training courses on entrepreneurial issues. The proposed courses would address the “management skills” suggested in the FAO “Guide to good practice in contract labour in forestry”. These skills are essential in increasing the competitiveness of companies operating in the timber sector and especially for small forestry enterprises that are more susceptible to market fluctuations. The opinions of 367 forestry workers were collected via a survey. Their answers show a high level of interest in technical topics, such as workplace safety and work organization, but less interest in management topics, such as accounting or taxation. We also investigated their preferences concerning educational techniques, and the results show a strong preference for traditional methods, such as face-to-face classes, compared to e-learning. We attempted to identify the elements that influenced the respondents’ attitudes towards entrepreneurial training using an ordinal logistic regression. The results indicate that the most interested respondents are young forestry workers or entrepreneurs with previous experience in training courses. In short, the findings show that the introduction of management training courses could be attractive for a large number of forestry workers. These results have particular relevance in the Western Italian Alps where 40% of surface is covered by forests and 3000 loggers work in the area.

The Aperture Array Verification System stimulated extensive test activities towards the development of the low-frequency instrument (50-350 MHz) of the Square Kilometer Array. This paper discusses radiation patterns measurements carried out on a 16-element array prototype with full digital beam-forming. A micro Unmanned Aerial Vehicle was adopted as the automatic positioner for the test source.

Cultural Heritage is a testimony of past human activity, and, as such, its objects exhibit great variety in their nature, size and complexity; from small artefacts and museum items to cultural landscapes, from historical building and ancient monuments to city centers and archaeological sites. Cultural Heritage around the globe suffers from wars, natural disasters and human negligence. The importance of digital documentation is well recognized and there is an increasing pressure to document our heritage both nationally and internationally. For this reason, the three-dimensional scanning and modeling of sites and artifacts of cultural heritage have remarkably increased in recent years. The semantic segmentation of point clouds is an essential step of the entire pipeline; in fact, it allows to decompose complex architectures in single elements, which are then enriched with meaningful information within Building Information Modelling software. Notwithstanding, this step is very time consuming and completely entrusted on the manual work of domain experts, far from being automatized. This work describes a method to label and cluster automatically a point cloud based on a supervised Deep Learning approach, using a state-of-the-art Neural Network called PointNet++. Despite other methods are known, we have choose PointNet++ as it reached significant results for classifying and segmenting 3D point clouds. PointNet++ has been tested and improved, by training the network with annotated point clouds coming from a real survey and to evaluate how performance changes according to the input training data. It can result of great interest for the research community dealing with the point cloud semantic segmentation, since it makes public a labelled dataset of CH elements for further tests.

The development of drugs able to target BTK, PI3k‐delta and BCL2 has dramatically improved chronic lymphocytic leukaemia (CLL) therapies. However, drug resistance to these therapies has already been reported due to non‐recurrent changes in oncogenic pathways and genes expression signatures. In this study, we investigated the cooperative role of the BCL2 inhibitor venetoclax and the BRD4 inhibitor JQ1. In particular, we found that JQ1 shows additional activity with venetoclax, in CLL cell lines and in ex vivo isolated primary CD19+ lymphocytes, arguing in favour of combination strategies. Lastly, JQ1 is also effective in venetoclax‐resistant CLL cell lines. Together, our findings indicated that the BET inhibitor JQ1 could be a promising therapy in CLL, both as first‐line therapy in combination with venetoclax and as second‐line therapy, after the emergence of venetoclax‐resistant clones.

After natural forest disturbances such as wildfires, windstorms and insect outbreaks, salvage logging is commonly applied to reduce economic losses and mitigate subsequent disturbance risk. However, this practice is controversial due to its potential ecological impacts, and its capacity to mitigate or increase the risk of subsequent disturbances remains unclear. Salvage logging removes and alters the legacies remaining after natural disturbances, and it produces additional management legacies. Consequently, salvage logging has the potential to alter the functional connection between natural disturbances and also produce new functional connections to additional disturbances. We reviewed the efficacy of salvage logging in mitigating the risk of subsequent wildfire, insect outbreaks, hydrologic disturbances, mass movements, windthrow, browsing, and microclimatic stress. We asked: (1) Does salvage logging modify resistance to subsequent disturbances? (2) Through what mechanisms do such effects operate? Based on 96 publications, salvage logging can reduce total ecosystem fuels but increase small ground fuels and produce drier fuels in the short term, reduce bark beetle host trees and beetle-tree connectivity (though with little evidence for outbreak mitigation), magnify erosion and flood impacts of disturbance but with uncertain watershed-scale implications, increase susceptibility to windthrow at artificially created stand edges, remove the protective function of deadwood in preventing rockfall and avalanches, alter browsing pressure by modifying forage availability and hiding cover for herbivores and predators, and increase microclimatic stress due to greater radiation and temperature fluctuations. We propose a decision-making framework to evaluate the suitability of salvage logging to manage subsequent disturbances. It contemplates the likelihood and impacts of both salvage logging and the subsequent disturbances. In summary, salvage logging does not necessarily prevent subsequent disturbances, and sometimes it may increase disturbance likelihood and magnitude. Forecasting the suitability of salvage logging for management goals requires assessing the mechanisms through which salvage logging effects operate under local conditions, balanced with its impacts as a disturbance itself. Managing to foster the highest-priority functions and services –such as biodiversity conservation, pest mitigation or economic return– across different parts of disturbed forest landscapes based on decision-making procedures such as the one proposed may constitute the best response to uncertain subsequent disturbances.

In recent decades, photogrammetric and machine learning technologies have become essential for a better understanding of environmental and anthropic issues. The present work aims to respond one of the most topical problems in environmental photogrammetry, i.e., the automatic classification of dense point clouds using the machine learning (ML) technology for the refraction correction on the fluvial water table. The applied methodology for the acquisition of multiple photogrammetric flights was made through UAV drones, also in RTK configuration, for various locations along the Orco River, sited in Piedmont (Italy) and georeferenced with GNSS—RTK topographic method. The authors considered five topographic fluvial cross-sections to set the correction methodology. The automatic classification in ML has found a valid identification of different patterns (Water, Gravel bars, Vegetation, and Ground classes), in specific hydraulic and geomatic conditions. The obtained results about the automatic classification and refraction reduction led us the definition of a new procedure, with precise conditions of validity.

Pancreatic cancer is a malignancy of great impact in developed countries and is having an increasing impact in Latin America. Incidence and mortality rates are similar for this cancer. This is an important reason to offer to the patients the best treatments available. During the Latin American Symposium of Gastroenterology Oncology (SLAGO) held in Viña del Mar, Chile, in April 2015, a multidisciplinary group of specialists in the field met to discuss about this disease. The main conclusions of this meeting, where practitioners from most of Latin American countries participated, are listed in this consensus that seek to serve as a guide for better decision making for patients with pancreatic cancer in Latin America.

An accurate description of watercourses helps to easily understand their behaviour both for routine hydrological investigations and in disasters cases. Knowing the position and the dimension of the supply sources of the river is crucial, since they have a direct influence on its behaviour; however, they are not often easily identified, and almost always completely unknown. Aerial thermal data can be critical in order to rapidly reveal and map the river supply source points for extensive areas. Using unmanned aerial vehicles (UAVs) to collect very easily and quickly high-resolution information is thus very interesting. UAVs can house many sensors for performing investigations in different bands of the spectrum, including thermal data. This work explains how UAVs can be used to collect this kind of data (through RGB and thermal devices) and presents a strategy to easily integrate the information from these different sensors. Integration procedures, also applicable in emergency situations, were developed. These methods do not require points on the ground and can be performed using commercial devices.

In recent years, many studies revealed the advantages of using airborne oblique images for obtaining improved 3D city models (e.g. including façades and building footprints). Expensive airborne cameras, installed on traditional aerial platforms, usually acquired the data. The purpose of this paper is to evaluate the possibility of acquire and use oblique images for the 3D reconstruction of a historical building, obtained by UAV (Unmanned Aerial Vehicle) and traditional COTS (Commercial Off-the-Shelf) digital cameras (more compact and lighter than generally used devices), for the realization of high-level-of-detail architectural survey. The critical issues of the acquisitions from a common UAV (flight planning strategies, ground control points, check points distribution and measurement, etc.) are described. Another important considered aspect was the evaluation of the possibility to use such systems as low cost methods for obtaining complete information from an aerial point of view in case of emergency problems or, as in the present paper, in the cultural heritage application field. The data processing was realized using SfM-based approach for point cloud generation: different dense image-matching algorithms implemented in some commercial and open source software were tested. The achieved results are analysed and the discrepancies from some reference LiDAR data are computed for a final evaluation. The system was tested on the S. Maria Chapel, a part of the Novalesa Abbey (Italy).

In the last years we have witnessed a rapid development of UAVs (Unmanned Aerial Vehicles), especially for image collection. One of the advantages is the possibility to perform high resolution and repeated flights in a cheap way to detect changes over time. Thus, dynamic scenes can be monitored acquiring image blocks in different epochs in a flexible way. Anyway, most of UAVs are not able to provide accurate direct geo-referencing information, so image blocks from different epochs still need to be co-registered to efficiently detect changes. This task is mostly completed using GCPs (Ground Control Points), although this approach is time consuming as manual intervention is needed. This paper aims at investigating new techniques to automate the co-registration of image blocks without the use of GCPs, just relying on an image based co-registration (IBCR) approach. The image alignment is initially performed on a reference (anchor) epoch and the registration of the following (slave) epochs is performed including some (anchor) images from the reference epoch with fixed external orientation parameters. This allows constraining the Bundle Block Adjustment of the slave epoch to be consistent with the reference one. The study involved the use of 10 multi-temporal image block over a large building construction site, and spanning a time frame of 2 years. Different tests have been performed for the reference image choice with a manual approach and then evaluating the reached accuracy. The performed tests on the chosen test site have shown that the accuracy of the proposed methodology provides results comparable to the common GCPs registration approach.

Purpose: To report the comparative clinical findings for two nystagmus procedures in two consecutive case series: the Sinskey anterior extirpation procedure (SAEP) and a modification, myectomy without reattachment (MWR). Methods: Twenty consecutive patients underwent the SAEP and 19 underwent MWR. The SAEP is a snare-assisted unmeasured deep myectomy, whereas MWR is a measured myectomy at posterior Tenon's fascia. All patients underwent comprehensive ophthalmologic and orthoptic examination with infrared videonystagmography. Binocular best corrected visual acuity, nystagmus amplitude, alignment, and versions outcomes were measured. Results: The highest percentage of patients experiencing two or more lines of improvement in distance and near acuity was in the SAEP group, who were younger than 10 years and had no ocular comorbidity (100%). Distance and near acuity improved at least one line in 71% and 86% of patients in the SAEP group and 72% and 61% in the MWR group, respectively. In both groups, patients younger than 10 years had the best acuity gains. Average nystagmus amplitude was reduced 76.3% (SAEP) and 68% (MWR). Horizontal versions were more compromised in the SAEP group and one patient experienced intraoperative orbital bleeding. Patients requiring reoperation for strabismus numbered 5 of 20 (20%) in the SAEP and 3 of 19 (16%) in the MWR groups. Conclusions: Similar to SAEP, the MWR procedure reduces nystagmus amplitudes and improves visual acuity but with less limitation of versions, risk of intraoperative bleeding, and risk of postoperative strabismus. Data suggest that early surgery (for patients younger than 10 years) can have a greater beneficial effect on postoperative visual acuity. [ J Pediatr Ophthalmol Strabismus . 2016;53(3):156–166.]

Purpose Myectomy and release of the four horizontal rectus muscles can ameliorate nystagmus, but may result in adduction limitation, convergence insufficiency, or exotropia. We developed a modified four-muscle myectomy with pulley fixation, in which the myectomized muscles are attached to the pulley rather than released. The purpose of this study was to present a prospective review of the clinical, nystagmographic, and quality-of-life data in a cohort of adults. Methods Ten adults with horizontal infantile nystagmus syndrome were recruited between July 2018 and October 2018. Subjects were grouped according to presence or absence of foveal hypoplasia (FH). Following myectomy, all four horizontal rectus muscles were sutured within the pulley or encircling fascia. All participants completed a comprehensive sensorimotor examination, videonystagmography, and a nystagmus-specific quality-of-life questionnaire. Results Of the 10 subjects, 5 were in the FH group and 5 in the no-FH group. Postoperatively, all 10 subjects experienced an improved quality of life, with median increases of 73% (FH) and 104% (No-FH). Nystagmus amplitude and slow-phase velocity were reduced, and binocular best-corrected visual acuity improved in both groups. Foveation time increased, but inconsistently, within subjects and between groups. Horizontal ocular rotations were reduced by up to 58%. Five subjects required transposition surgery for symptomatic exotropia (4) or hypertropia (1). Conclusions In this small study cohort, four-muscle myectomy with pulley fixation reduced the amplitude and velocity of nystagmus and improved quality of life and visual acuity, notwithstanding reduced ocular rotation and reoperation. Fixation of the muscle to the pulley did not reduce the risk of exotropia.

BACKGROUND: Infantile colic is typically defined as full‐force crying for at least three hours per day, on at least three days per week, for at least three weeks. This condition appears to be more frequent in the first six weeks of life (prevalence range of 17% to 25%), depending on the specific location reported and definitions used, and it usually resolves by three months of age. The aetiopathogenesis of infantile colic is unclear but most likely multifactorial. A number of psychological, behavioural and biological components (food hypersensitivity, allergy or both; gut microflora and dysmotility) are thought to contribute to its manifestation. The role of diet as a component in infantile colic remains controversial. OBJECTIVES: To assess the effects of dietary modifications for reducing colic in infants less than four months of age. SEARCH METHODS: In July 2018 we searched CENTRAL, MEDLINE, Embase , 17 other databases and 2 trials registers. We also searched Google, checked and handsearched references and contacted study authors. SELECTION CRITERIA: Randomised controlled trials (RCTs) and quasi‐RCTs evaluating the effects of dietary modifications, alone or in combination, for colicky infants younger than four months of age versus another intervention or placebo. We used specific definitions for colic, age of onset and the methods for performing the intervention. We defined 'modified diet' as any diet altered to include or exclude certain components. DATA COLLECTION AND ANALYSIS: We used standard methodological procedures expected by Cochrane. Our primary outcome was duration of crying, and secondary outcomes were response to intervention, frequency of crying episodes, parental/family quality of life, infant sleep duration, parental satisfaction and adverse effects. MAIN RESULTS: We included 15 RCTs involving 1121 infants (balanced numbers of boys and girls) aged 2 to 16 weeks. All studies were small and at high risk of bias across multiple design factors (e.g. selection, attrition). The studies covered a wide range of dietary interventions, and there was limited scope for meta‐analysis. Using the GRADE approach, we assessed the quality of the evidence as very low. Low‐allergen maternal diet versus a diet containing known potential allergens: one study (90 infants) found that 35/47 (74%) of infants responded to a low‐allergen maternal diet, compared with 16/43 (37%) of infants on a diet containing known potential allergens. Low‐allergen diet or soy milk formula versus dicyclomine hydrochloride: one study (120 infants) found that 10/15 (66.6%) breastfed babies responded to dicyclomine hydrochloride, compared with 24/45 (53.3%) formula‐fed babies. There was little difference in response between breastfed babies whose mother changed their diet (10/16; 62.5%) and babies who received soy milk formula (29/44; 65.9%). Hydrolysed formula versus standard formula: two studies (64 infants) found no difference in duration of crying, reported as a dichotomous outcome: risk ratio 2.03, 95% confidence interval (CI) 0.81 to 5.10; very low‐quality evidence. The author of one study confirmed there were no adverse effects. One study (43 infants) reported a greater reduction in crying time postintervention with hydrolysed formula (104 min/d, 95% CI 55 to 155) than with standard formula (3 min/d, 95% CI −63 to 67). Hydrolysed formula versus another hydrolysed formula: one study (22 infants) found that two types of hydrolysed formula were equally effective in resolving symptoms for babies who commenced with standard formula (Alimentum reduced crying to 2.21 h/d (standard deviation (SD) 0.40) and Nutramigen to 2.93 h/d (SD 0.70)). Hydrolysed formula or dairy‐ and soy‐free maternal diet versus addition of parental education or counselling: one study (21 infants) found that crying time decreased to 2.03 h/d (SD 1.03) in the hydrolysed or dairy‐ and soy‐free group compared with 1.08 h/d (SD 0.7) in the parent education or counselling group, nine days into the intervention. Partially hydrolysed, lower lactose, whey‐based formulae containing oligosaccharide versus standard formula with simethicone: one study (267 infants) found that both groups experienced a decrease in colic episodes (secondary outcome) after seven days (partially hydrolysed formula: from 5.99 episodes (SD 1.84) to 2.47 episodes (SD 1.94); standard formula: from 5.41 episodes (SD 1.88) to 3.72 episodes (SD 1.98)). After two weeks the difference between the two groups was significant (partially hydrolysed: 1.76 episodes (SD 1.60); standard formula: 3.32 episodes (SD 2.06)). The study author confirmed there were no adverse effects. Lactase enzyme supplementation versus placebo: three studies (138 infants) assessed this comparison, but none reported data amenable to analysis for any outcome. There were no adverse effects in any of the studies. Extract of Foeniculum vulgare, Matricariae recutita, and Melissa officinalis versus placebo: one study (93 infants) found that average daily crying time was lower for infants given the extract (76.9 min/d (SD 23.5), than infants given placebo (169.9 min/d (SD 23.1), at the end of the one‐week study. There were no adverse effects. Soy protein‐based formula versus standard cows' milk protein‐based formula: one study (19 infants) reported a mean crying time of 12.7 h/week (SD 16.4) in the soy formula group versus 17.3 h/week (SD 6.9) in the standard cows' milk group, and that 5/10 (50%) responded in the soy formula group versus 0/9 (0%) in the standard cows' milk group. Soy protein formula with polysaccharide versus standard soy protein formula: one study (27 infants) assessed this comparison but did not provide disaggregated data for the number of responders in each group after treatment. No study reported on our secondary outcomes of parental or family quality of life, infant sleep duration per 24 h, or parental satisfaction. AUTHORS' CONCLUSIONS: Currently, evidence of the effectiveness of dietary modifications for the treatment of infantile colic is sparse and at significant risk of bias. The few available studies had small sample sizes, and most had serious limitations. There were insufficient studies, thus limiting the use of meta‐analysis. Benefits reported for hydrolysed formulas were inconsistent. Based on available evidence, we are unable to recommend any intervention. Future studies of single interventions, using clinically significant outcome measures, and appropriate design and power are needed.