Indirect Match Highlights Detection with Deep Convolutional Neural Networks

Highlights in a sport video are usually referred as actions that stimulate excitement or attract attention of the audience. A big effort is spent in designing techniques which find automatically highlights, in order to automatize the otherwise manual editing process. Most of the state-of-the-art approaches try to solve the problem by training a classifier using the information extracted on the tv-like framing of players playing on the game pitch, learning to detect game actions which are labeled by human observers according to their perception of highlight. Obviously, this is a long and expensive work. In this paper, we reverse the paradigm: instead of looking at the gameplay, inferring what could be exciting for the audience, we directly analyze the audience behavior, which we assume is triggered by events happening during the game. We apply deep 3D Convolutional Neural Network (3D-CNN) to extract visual features from cropped video recordings of the supporters that are attending the event. Outputs of the crops belonging to the same frame are then accumulated to produce a value indicating the Highlight Likelihood (HL) which is then used to discriminate between positive (i.e. when a highlight occurs) and negative samples (i.e. standard play or time-outs). Experimental results on a public dataset of ice-hockey matches demonstrate the effectiveness of our method and promote further research in this new exciting direction.Comment: "Social Signal Processing and Beyond" workshop, in conjunction with ICIAP 201

Compositi rinforzati in fibra di carbonio per sottostrutture implantoprotesiche: aspetti biomeccanici e clinici

The rehabilitation of edentulous or severely compromised dental arches through immediate loading fixed implant dentistry has been proved as a reliable and predictable approach over the last few decades. The rigid spinting of multiple implants through a prosthetic metal framework is a key factor in immediate loading protocols, due to its ability to provide a balanced distribution of chewing loads on each implant and to prevent the concentration of mechanical stresses. However, the high production time-costs and the aesthetic veneer chipping fracture of the prosthesis are the main disadvantages related to the use of metal alloys in implant prosthodontics. Recently a growing interest is emerging towards newly advanced materials, especially on carbon fiber reinforced composites (CFRCs). The aim of this PhD Thesis was to evaluate the biomechanical properties and the clinical behavior of CFRCs applied in implant dentistry. A virtual simulation of occlusal loads distribution with CFRC framework was conducted through a three dimensional Finite Elements Analysis (3D-FEA). Porosity, static and dynamic elastic modulus of CFRC samples, together with shear bond strength between CFRCs and prosthetic veneering materials were evaluated with destructive and non-destructive mechanical tests. Biocompatibility of intact CFRC samples and fragments were investigated by cell count and MTT test, according to EN-ISO 10993-5:2009 directions. A case report of a full-arch immediate loading fixed implant rehabilitation with CFRC framework was included, together with a case series of 5 of full-arch immediate loading fixed rehabilitations supported by zygomatic implants and CFRC frameworks. A prospective cohort clinical study was performed in order to compare full-arch immediate loading fixed implant prostheses with CFRC frameworks versus conventional metal frameworks. Basing on the results of this Thesis, CFRCs might represent a viable alternative to traditional metal alloys for the fabrication of implant prosthetic frameworks thanks to their excellent mechanical properties (enhanced stiffness, fatigue resistance, low weight), biocompatibility, shortened working-time and affordable costs

An Observational Retrospective Cohort Trial on 4,828 IVF Cycles Evaluating Different Low Prognosis Patients Following the POSEIDON Criteria

Objective: To study the actual controlled ovarian stimulation (COS) management in women with suboptimal response, comparing clinical outcomes to the gonadotropins consume, considering potential role of luteinizing hormone (LH) addition to follicle-stimulating hormone (FSH).Design: Monocentric, observational, retrospective, real-world, clinical trial on fresh intra-cytoplasmic sperm injection (ICSI) cycles retrieving from 1 to 9 oocytes, performed at Humanitas Fertility Center from January 1st, 2012 to December 31st, 2015.Methods: COS protocols provided gonadotropin releasing-hormone (GnRH) agonist long, flare-up, short and antagonist. Both recombinant and urinary FSH were used for COS and LH was added according to the clinical practice. ICSI outcomes considered were: gonadotropins dosages; total, mature, injected and frozen oocytes; cumulative, transferred and frozen embryos; implantation rate; pregnancy, delivery and miscarriage rates. Outcomes were compared according to the gonadotropin regimen used during COS.Results: Our cohort showed 20.8% of low responders, defined as 1-3 oocytes retrieved and 79.2% of "suboptimal" responders, defined as 4-9 oocytes retrieved. According to recent POSEIDON stratification, cycles were divided in group 1 (6.9%), 2 (19.8%), 3 (11.7%), and 4 (61.5%). The cohort was divided in 3 groups, according to the gonadotropin's regimen. Women treated with FSH plus LH showed worst prognostic factors, in terms of age, basal FSH, AMH, and AFC. This difference was evident in suboptimal responders, whereas only AMH and AFC were different among treatment groups in low responders. Although a different result, in terms of oocytes and embryos detected, major ICSI outcomes (i.e., pregnancy and delivery rates) were similar among groups of COS treatment. Outcomes were significantly different among Poseidon groups. Implantation, pregnancy and delivery rates were significantly higher in Poseidon group 1 and progressively declined in other POSEIDON groups, reaching the worst percentage in group 4.Conclusions: In clinical practice, women with worst prognosis factors are generally treated with a combination of LH and FSH. Despite low prognosis women showed a reduced number of oocytes retrieved, the final ICSI outcome, in terms of pregnancy, is similarly among treatment group. This result suggests that the LH addition to FSH during COS could improve the quality of oocytes retrieved, balancing those differences that are evident at baseline

Recognition self-awareness for active object recognition on depth images

We propose an active object recognition framework that introduces the recognition self-awareness, which is an intermediate level of reasoning to decide which views to cover during the object exploration. This is built first by learning a multi-view deep 3D object classifier; subsequently, a 3D dense saliency volume is generated by fusing together single-view visualization maps, these latter obtained by computing the gradient map of the class label on different image planes. The saliency volume indicates which object parts the classifier considers more important for deciding a class. Finally, the volume is injected in the observation model of a Partially Observable Markov Decision Process (POMDP). In practice, the robot decides which views to cover, depending on the expected ability of the classifier to discriminate an object class by observing a specific part. For example, the robot will look for the engine to discriminate between a bicycle and a motorbike, since the classifier has found that part as highly discriminative. Experiments are carried out on depth images with both simulated and real data, showing that our framework predicts the object class with higher accuracy and lower energy consumption than a set of alternatives

Salivary biomarkers for diagnosis of systemic diseases and malignant tumors. A systematic review

Saliva evaluation could be a possible alternative to blood and/or tissue analyses, for researching specific molecules associated to the presence of systemic diseases and malignancies. The present systematic review has been designed in order to answer to the question ?are there significant associations between specific salivary biomarkers and diagnosis of systemic diseases or malignancies??. The Preferred Reporting Item for Systematic Reviews and Meta-analysis (PRISMA) statement was used to guide the review. The combinations of ?saliva? and ?systemic diseases? or ?diagnosis? or ?biomarkers? or ?cancers? or ?carcinoma? or ?tumors?, were used to search Medline, Scopus and Web of Science databases. Endpoint of research has been set at May 2019. Studies were classified into 3 groups according to the type of disease investigated for diagnosis: 1) malignant tumors; 2) neurologic diseases and 3) inflammatory/metabolic/cardiovascular diseases. Assessment of quality has been assigned according to a series of questions proposed by the National Institute of Health. Level of evidence was assessed using the categories proposed in the Oxford Center for Evidence-Based medicine (CEMB) levels for diagnosis (2011). Seventy-nine studies met the inclusion and exclusion criteria. Fifty-one (64%) investigated malignant tumors, 14 (17.5%) neurologic and 14 (18.5%) inflammatory/cardiovascular/metabolic diseases. Among studies investigating malignant tumors, 12 (23.5%) were scored as ?good? and 11 of these reported statistically significant associations between salivary molecules and pathology. Two and 5 studies were found to have a good quality, among those evaluating the association between salivary biomarkers and neurologic and inflammatory/metabolic/cardiovascular diseases, respectively. The present systematic review confirms the existence of some ?good? quality evidence to support the role of peculiar salivary biomarkers for diagnosis of systemic diseases (e.g. lung cancer and EGFR)

Self-healing CD30- T-clonal proliferation of the tongue: report of an extremely rare case

The etiology of traumatic ulcerative granulomas with stromal eosinophilia (TUGSE) is not clear, traumatic irritation having advocated as the most likely cause. TUGSEs are typically self-limiting slow-healing lesions of the oral mucosa with unclear pathogenesis, commonly manifesting as a rapidly developing, long-lasting ulcer

appraisal of clinical complications after 23 827 oocyte retrievals in a large assisted reproductive technology program

Objective To assess complications encountered after transvaginal oocyte retrieval procedures. Design Retrospective analysis. Setting University hospital, fertility center. Patient(s) A total of 23,827 consecutive transvaginal oocyte retrieval procedures in 12,615 patients. Intervention(s) Oocyte retrieval procedures performed between June 1996 and October 2016. Main Outcome Measure(s) All oocyte retrieval complications. Those requiring hospital admission for at least 24 hours were considered severe. Result(s) A total of 96 patients (0.76 %) suffered complications, with hospital admission necessary for 71 patients (0.56 %). When calculated per retrieval, the overall complication rate was 0.4%, whereas 0.29% was the admission rate, with an average duration of hospital stay of 2.77 ± 2.5 days. A surgical procedure was necessary for 24 patients (0.1% per retrieval and 0.19% per patient). Multivariate analysis showed a significant correlation between complications and women age, body mass index (BMI), the number oocyte retrieved, and the mean time to complete oocyte retrieval. The incidence of complications was significantly higher for physicians who had performed 250 retrievals (odds ratio 0.63, 95% confidence interval 0.40–0.99). Conclusion(s) Oocyte retrieval can be considered a safe procedure but is not without risks. The most important, identifiable, risk factors for the occurrence of complications are: [1] high number of oocytes retrieved, [2] a long duration of the procedure and mean time per oocyte retrieved, [3] inexperience of the surgeon, [4] younger patients with a lesser BMI, and [5] history of prior abdominal or pelvic surgery or pelvic inflammatory disease. Clinical Trial Registration Number NCT03282279

An energy saving approach to active object recognition and localization

We propose an Active Object Recognition (AOR) strategy explicitly suited to work with robotic arms in human-robot cooperation scenarios. So far, AOR policies on robotic arms have focused on heterogeneous constraints, most of them related to classification accuracy, classification confidence, number of moves etc., discarding physical and energetic constraints a real robot has to fulfill. Our strategy overcomes this weakness by exploiting a POMDP-based AOR algorithm that explicitly considers manipulability and energetic terms in the planning optimization. The manipulability term avoids the robotic arm to get close to singularities, which require expensive and straining backtracking steps; the energetic term deals with the arm gravity compensation when in static conditions, which is crucial in AOR policies where time is spent in the classifier belief update, before doing the next movement. Several experiments have been carried out on a redundant, 7-DoF Panda arm manipulator, on a multi-object recognition task. This allows to appreciate the improvement of our solution with respect to other competitors evaluated on simulations only

Salivary microRNA for diagnosis of cancer and systemic diseases: A systematic review

Background: The aberrant expression of microRNAs (miRNAs) has been associated with several diseases, including cancer, inflammatory, and autoimmune conditions. Interest in salivary miRNAs as non-invasive tools for the diagnosis of malignancies and systemic diseases is rapidly increasing. The present systematic review was developed for answering the question: \u201cAre salivary microRNAs reliable biomarkers for diagnosis of cancer and systemic diseases?\u201d Methods: The application of inclusion and exclusion criteria led to the selection of 11 papers. Critical appraisals and quality assessments of the selected studies were performed through the National Institute of Health \u201cStudy Quality Assessment Tool\u201d and the classification of the Oxford Center for Evidence-Based Medicine. Results: Seven studies reported statistically significant correlations between one or more salivary miRNAs and the investigated disease. The critical analysis allowed us to classify only two studies (18.2%) as having \u201cgood\u201d quality, the rest being scored as \u201cintermediate\u201d (8; 73%) and \u201cpoor\u201d (1; 9%). Evidence exists that salivary miR-940 and miR-3679-5p are reliable markers for pancreatic cancer and that miR140-5p and miR301a are promising molecules for the salivary diagnosis of gastric cancer. Conclusions: Further studies, possibly avoiding the risk of bias highlighted here, are necessary to consolidate these findings and to identify new reliable salivary biomarkers