Design and Development of a Robotic Sensorized Handle for Monitoring Older Adult Grasping Force

Service robots have the potential to support the personal mobility of elderly population. Monitoring and measuring grasping force in older adults is an important issue both from robotic and clinical perspectives. From robot point of view, new adaptive control strategies can be implemented based on the users' force; clinicians can monitor the changes in the grasp strength over time to evaluate abnormal conditions, which can be associated with geriatric syndromes. In this context, this work focused on the design, development and testing of a sensorized smart handle able to enhance the robotic mobility support service provided by the robot, called ASTRO. The primary goal of this paper is to design the sensorized handle according to clinical and technical specifications in terms of working range, sensitivity and clinical requirements. Then, the smart handle was tested with 19 subjects to investigate whether the system is able to detect forces correlated to the ones measured with a traditional tool. Additionally, further analysis were conducted to analyse how the forces were distributed to refine and optimize the design. The study shows meaningful results as the grasp forces measured with the smart handle and the traditional tool were significantly correlated

Virus-Mediated Metalloproteinase 1 Induction Revealed by Transcriptome Profiling of Bovine Herpesvirus 4-Infected Bovine Endometrial Stromal Cells

Viral infections can cause genital tract disorders (including abortion) in cows, and bovine herpesvirus 4 (BoHV-4) is often present in endometritis-affected animals. A major problem with cattle uterine viral infections in general, and BoHV-4 in particular, is our limited understanding of the pathogenic role(s) that these infections play in the endometrium. A similar lack of knowledge holds for the molecular mechanisms utilized, and the host cell pathways affected, by BoHV-4. To begin to fill these gaps, we set up optimized conditions for BoHV-4 infection of a pure population of bovine endometrial stromal cells (BESCs) to be used as source material for RNA sequencing-based transcriptome profiling. Many genes were found to be upregulated (417) or downregulated (181) after BoHV-4 infection. As revealed by enrichment functional analysis on differentially expressed genes, BoHV-4 infection affects various pathways related to cell proliferation and cell surface integrity, at least three of which were centered on upregulation of matrix metalloproteinase 1 (MMP1) and interleukin 8 (IL8). This was confirmed by reverse transcription PCR, real-time PCR, Western-immunoblot analysis, and a luciferase assay with a bovine MMP1-specific promoter reporter construct. Further, it was found that MMP1 transcription was upregulated by the BoHV-4 transactivator IE2/RTA, leading to abnormally high metalloproteinase tissue levels, potentially leading to defective endometrium healing and unresolved inflammation. Based on these findings, we propose a new model for BoHV-4 action centered on IE2-mediated MMP1 upregulation and novel therapeutic interventions based on IFN gamma-mediated MMP1 downregulation

Predicting Local Failure after Partial Prostate Re-Irradiation Using a Dosiomic-Based Machine Learning Model

The aim of this study is to predict local failure after partial prostate re-irradiation for the treatment of isolated locally recurrent prostate cancer by using a machine learning classifier based on radiomic features from pre-treatment computed tomography (CT), positron-emission tomography (PET) and biological effective dose distribution (BED) of the radiotherapy plan. The analysis was conducted on a monocentric dataset of 43 patients with evidence of isolated intraprostatic recurrence of prostate cancer after primary external beam radiotherapy. All patients received partial prostate re-irradiation delivered by volumetric modulated arc therapy. The gross tumor volume (GTV) of each patient was manually contoured from planning CT, choline-PET and dose maps. An ensemble machine learning pipeline including unbalanced data correction and feature selection was trained using the radiomic and dosiomic features as input for predicting occurrence of local failure. The model performance was assessed using sensitivity, specificity, accuracy and area under receiver operating characteristic curves of the score function in 10-fold cross validation repeated 100 times. Local failure was observed in 13 patients (30%), with a median time to recurrence of 36.7 months (range = 6.1–102.4 months). A four variables ensemble machine learning model resulted in accuracy of 0.62 and AUC 0.65. According to our results, a dosiomic machine learning classifier can predict local failure after partial prostate re-irradiation

RR Myelo POINT: A Retrospective Single-Center Study Assessing the Role of Radiotherapy in the Management of Multiple Myeloma and Possible Interactions with Concurrent Systemic Treatment

Although chemotherapy, biological agents, and radiotherapy (RT) are cornerstones of the treatment of multiple myeloma (MM), the literature regarding the possible interactions of concurrent systemic treatment (CST) and RT is limited, and the optimal RT dose is still unclear

Second series by the Italian Association of Pediatric Hematology and Oncology of children and adolescents with intracranial ependymoma: an integrated molecular and clinical characterization with a long-term follow-up

BACKGROUND: A prospective 2002-2014 study stratified 160 patients by resection extent and histological grade, reporting results in 2016. We reanalyzed the series after a median 119 months, adding retrospectively patients’ molecular features. METHODS: Follow-up of all patients was updated. DNA copy-number analysis and gene-fusion detection could be completed for 94/160 patients, methylation classification for 68. RESULTS: PFS and OS at five/ten years were 66/58%, and 80/73%. Ten patients had late relapses (range 66-126 months), surviving after relapse no longer than those relapsing earlier (0-5 years). On multivariable analysis a better PFS was associated with grade 2 tumor and complete surgery at diagnosis and/or at RT; female sex and complete resection showed a positive association with OS. Posterior fossa(PF) tumors scoring ≥0.80 on DNA methylation analysis were classified as PFA (41) and PFB (8). PFB patients had better PFS and OS. Eighteen/32 supratentorial(ST) tumors were classified as RELA, and 3 as other molecular entities (anaplastic PXA, LGG MYB, HGNET). RELA had no prognostic impact. Patients with 1q gain or CDKN2A loss had worse outcomes, included significantly more patients >3 years old (p = 0.050) and cases of dissemination at relapse (p = 0.007). CONCLUSIONS: Previously-described prognostic factors were confirmed at 10-year follow-up. Late relapses occurred in 6.2% of patients. Specific molecular features may affect outcome: PFB patients had a very good prognosis; 1q gain and CDKN2A loss were associated with dissemination. To draw reliable conclusions, modern ependymoma trials need to combine diagnostics with molecular risk stratification and long-term follow-up

Second series by the Italian Association of Pediatric Hematology and Oncology of children and adolescents with intracranial ependymoma: an integrated molecular and clinical characterization with a long-term follow-up

Background. A prospective 2002-2014 study stratified 160 patients by resection extent and histological grade, reporting results in 2016. We re-analyzed the series after a median of 119 months, adding retrospectively patients' molecular features.Methods. Follow-up of all patients was updated. DNA copy number analysis and gene-fusion detection could be completed for 94/160 patients, methylation classification for 68.Results. Progression-free survival (PFS) and overall survival (OS) at 5/10 years were 66/58%, and 80/73%. Ten patients had late relapses (range 66-126 mo), surviving after relapse no longer than those relapsing earlier (0-5 y). On multivariable analysis a better PFS was associated with grade II tumor and complete surgery at diagnosis and/or at radiotherapy; female sex and complete resection showed a positive association with OS. Posterior fossa (PF) tumors scoring >= 0.80 on DNA methylation analysis were classified as PFA (n = 41) and PFB (n = 9). PFB patients had better PFS and OS. Eighteen/32 supratentorial tumors were classified as RELA, and 3 as other molecular entities (anaplastic PXA, LGG MYB, HGNET). RELA had no prognostic impact. Patients with 1q gain or cyclin-dependent kinase inhibitor 2A (CDKN2A) loss had worse outcomes, included significantly more patients >3 years old (P = 0.050) and cases of dissemination at relapse (P = 0.007).Conclusions. Previously described prognostic factors were confirmed at 10-year follow-up. Late relapses occurred in 6.2% of patients. Specific molecular features may affect outcome: PFB patients had a very good prognosis; 1q gain and CDKN2A loss were associated with dissemination. To draw reliable conclusions, modern ependymoma trials need to combine diagnostics with molecular risk stratification and long-term follow-up

The Breast Size Satisfaction Survey (BSSS): Breast size dissatisfaction and its antecedents and outcomes in women from 40 nations

The Breast Size Satisfaction Survey (BSSS) was established to assess women's breast size dissatisfaction and breasted experiences from a cross-national perspective. A total of 18,541 women were recruited from 61 research sites across 40 nations and completed measures of current-ideal breast size discrepancy, as well as measures of theorised antecedents (personality, Western and local media exposure, and proxies of socioeconomic status) and outcomes (weight and appearance dissatisfaction, breast awareness, and psychological well-being). In the total dataset, 47.5 % of women wanted larger breasts than they currently had, 23.2 % wanted smaller breasts, and 29.3 % were satisfied with their current breast size. There were significant cross-national differences in mean ideal breast size and absolute breast size dissatisfaction, but effect sizes were small (?2 = .02–.03). The results of multilevel modelling showed that greater Neuroticism, lower Conscientiousness, lower Western media exposure, greater local media exposure, lower financial security, and younger age were associated with greater breast size dissatisfaction across nations. In addition, greater absolute breast size dissatisfaction was associated with greater weight and appearance dissatisfaction, poorer breast awareness, and poorer psychological well-being across nations. These results indicate that breast size dissatisfaction is a global public health concern linked to women's psychological and physical well-being. © 2020 Elsevier Lt

The Breast Size Satisfaction Survey (BSSS)

The Breast Size Satisfaction Survey (BSSS) was established to assess women’s breast size dissatisfaction and breasted experiences from a cross-national perspective. A total of 18,541 women were recruited from 61 research sites across 40 nations and completed measures of current-ideal breast size discrepancy, as well as measures of theorised antecedents (personality, Western and local media exposure, and proxies of socioeconomic status) and outcomes (weight and appearance dissatisfaction, breast awareness, and psychological well-being). In the total dataset, 47.5% of women wanted larger breasts than they currently had, 23.2% wanted smaller breasts, and 29.3% were satisfied with their current breast size. There were significant cross-national differences in mean ideal breast size and absolute breast size dissatisfaction, but effect sizes were small (η2 = .02-.03). The results of multilevel modelling showed that greater Neuroticism, lower Conscientiousness, lower Western media exposure, greater local media exposure, lower financial security, and younger age were associated with greater breast size dissatisfaction across nations. In addition, greater absolute breast size dissatisfaction was associated with greater weight and appearance dissatisfaction, poorer breast awareness, and poorer psychological well-being across nations. These results indicate that breast size dissatisfaction is a global public health concern linked to women’s psychological and physical well-being