Search

Introduction: This study evaluates the efficacy and safety of non-ablative diode laser therapy for genitourinary syndrome of menopause (GSM) in post-menopausal women unable to use hormonal therapies. Methods: A pilot prospective study was conducted from September 2023 to April 2024, involving 22 post-menopausal women aged 45–73 years. Participants underwent three sessions of diode laser treatment with the Leonardo® dual-wavelength Diode laser. Assessments were made at baseline, 3 months, and 6 months post-treatment. Main outcome measures included Visual Analog Scale (VAS) scores for GSM symptoms, Vaginal Health Index Score (VHIS), and sexual function evaluated using the Female Sexual Function Index (FSFI-6), Pelvic Organ Prolapse/Urinary Incontinence Sexual Questionnaire (PISQ-12), and Sexual Quality of Life-Female (SQOL-F) questionnaire. Results: Significant improvements were observed in VHIS, increasing from 12 to 19.27 at 6 months (p < 0.001). GSM symptoms improved significantly: vaginal dryness scores decreased from 7.72 ± 2.37 to 3.72 ± 2.53, burning sensation scores dropped from 6.00 ± 3.22 to 1.90 ± 1.81, and dyspareunia scores reduced from 8.09 ± 2.11 to 3.90 ± 2.58 (all p < 0.016). Sexual function improved, indicated by FSFI-6 scores increasing from 12.27 ± 7.29 to 19.30 ± 6.24 (p < 0.016) and SQOL-F scores rising from 63.18 ± 22.93 to 71.45 ± 23.31. No adverse events were reported. Conclusion: Non-ablative diode laser therapy is effective and safe for managing GSM symptoms in post-menopausal women, offering significant symptom relief and enhancing sexual health without serious side effects. Further research with a larger cohort and extended follow-up is needed to confirm these findings. Trial Registration: Clinical Trials ID NCT06503003. [ABSTRACT FROM AUTHOR]

Stroke, a life-threatening medical condition, necessitates immediate intervention for optimal outcomes. Timely diagnosis and treatment play a crucial role in reducing mortality and minimizing long-term disabilities associated with strokes. This study presents a novel approach to meet these critical needs by proposing a real-time stroke detection system based on deep learning (DL) with utilization of federated learning (FL) to enhance accuracy and privacy preservation. The primary objective of this research is to develop an efficient and accurate model capable of discerning between stroke and non-stroke cases in real-time, facilitating healthcare professionals in making well-informed decisions. Traditional stroke detection methods relying on manual interpretation of medical images are time-consuming and prone to human error. DL techniques have shown promise in automating this process, yet challenges persist due to the need for extensive and diverse datasets and privacy concerns. To address these challenges, our methodology involves utilization and assessing YOLOv8 models on comprehensive datasets comprising both stroke and non-stroke based on the facial paralysis of the individuals from the images. This training process empowers the model to grasp intricate patterns and features associated with strokes, thereby enhancing its diagnostic accuracy. In addition, federated learning, a decentralized training approach, is employed to bolster privacy while preserving model performance. This approach enables the model to learn from data distributed across various clients without compromising sensitive patient information. The proposed methodology has been implemented on NVIDIA platforms, utilizing their advanced GPU capabilities to enable real-time processing and analysis. This optimized model has the potential to revolutionize stroke diagnosis and patient care, promising to save lives and elevate the quality of healthcare services in the neurology field. [ABSTRACT FROM AUTHOR]

Active sacroiliitis and sacroiliac joint dysfunction represent a common cause of low back pain in the population and are cause of patients' quality of life reduction and disability worldwide. The use of musculoskeletal ultrasound allows to easily identify the sacroiliac joints and to study every pathological condition affecting its most dorsal part; moreover, musculoskeletal ultrasound allows to guide highly effective injective procedures aimed at improving patients' symptoms and enhance their well-being. This paper aims to briefly explain for the musculoskeletal sonographer the anatomy and biomechanics of the sacroiliac joints, the correct ultrasound scanning method for their visualization and the most appropriate ultrasound guided injection technique to help dealing with the diagnostic and management of sacroiliac joint pain in the everyday scenario. [ABSTRACT FROM AUTHOR]

Automatic modulation classification (AMC) is a challenging topic in the development of cognitive radio, which can sense and learn surrounding electromagnetic environments and help to make corresponding decisions. In this paper, we propose to complete the real-time AMC through constructing a lightweight neural network MobileViT driven by the clustered constellation images. Firstly, the clustered constellation images are transformed from I/Q sequences to help extract robust and discriminative features. Then the lightweight neural network called MobileViT is developed for the real-time constellation image classification. Experimental results on the public dataset RadioML 2016.10a with edge computing platform demonstrate the superiority and efficiency of MobileViT. Furthermore, the extensive ablation tests prove the robustness of the proposed method to the learning rate and batch size. To the best of our knowledge, this is the first attempt to deploy the deep learning model to complete the real-time classification of modulation schemes of received signals at the edge. [ABSTRACT FROM AUTHOR]

Purpose: This case series examined the safety and effectiveness of hysteroscopic myolysis using laser-induced interstitial thermo-therapy (LITT) for treating heavy menstrual bleeding (HMB) in premenopausal women with FIGO type 1 or 2 uterine fibroids, not planning for future fertility. Additionally, a comprehensive review of innovative, minimally invasive, incisionless myolysis techniques was conducted. Methods: Women with HMB, sonographically diagnosed with a single FIGO type 1 or 2 fibroid, underwent hysteroscopic myolysis using the Leonardo® diode laser. Effectiveness was assessed via transvaginal ultrasound measurement of myoma size, volume and vascularization pre and post-procedure. Moreover, we also evaluated any improvements in symptoms using the Pictorial Blood Loss Assessment Chart (PBAC score) scores. Results: The procedure resulted in significant HMB reductions and noticeable fibroid size, volume, and vascularization decrease in all three patients, with no reported complications. The literature review revealed both advantages and limitations of the minimally invasive, incisionless myolysis techniques. Conclusions: Hysteroscopic laser myolysis is a safe and effective therapeutic intervention for patients experiencing HMB, diagnosed with FIGO type 1 or 2 fibroids, and not planning for future fertility. The procedure resulted in significant reductions in menstrual blood loss and fibroid size. Despite the promising results, it is essential to note the limitations of this report, including its case series design, a small number of patients, and a short follow-up period. Further research is necessary to confirm these results. [ABSTRACT FROM AUTHOR]

Background: To date hysteroscopy is the gold standard technique for the evaluation and management of intrauterine pathologies. The cervical canal represents the access route to the uterine cavity. The presence of cervical stenosis often makes entry into the uterine cavity difficult and occasionally impossible. Cervical stenosis has a multifactorial etiology. It is the result of adhesion processes that can lead to the narrowing or total obliteration of the cervical canal. Purpose: In this review, we summarize the scientific evidence about cervical stenosis, aiming to identify the best strategy to overcome this challenging condition. Methods: The literature review followed the scale for the quality assessment of narrative review articles (SANRA). All articles describing the hysteroscopic management of cervical stenosis were considered eligible. Only original papers that reported data on the topic were included. Results: Various strategies have been proposed to address cervical stenosis, including surgical and non-surgical methods. Medical treatments such as the preprocedural use of cervical-ripening agents or osmotic dilators have been explored. Surgical options include the use of cervical dilators and hysteroscopic treatments. Conclusions: Cervical stenosis can present challenges in achieving successful intrauterine procedures. Operative hysteroscopy has been shown to have the highest success rate, particularly in cases of severe cervical stenosis, and is currently considered the gold standard for managing this condition. Despite the availability of miniaturized instruments that have made the management of cervical stenosis more feasible, it remains a complex task, even for experienced hysteroscopists. [ABSTRACT FROM AUTHOR]

Object detection methods based on deep learning have made great progress in recent years and have been used successfully in many different applications. However, since they have been evaluated predominantly on datasets of natural images, it is still unclear how accurate and effective they can be if used in special domain applications, for example in scientific, industrial, etc. images, where the properties of the images are very different from those taken in natural scenes. In this study, we illustrate the challenges one needs to face in such a setting on a concrete practical application, involving the detection of a particular fluid phenomenon—bag-breakup—in images of droplet scattering, which differ significantly from natural images. Using two technologically mature and state-of-the-art object detection methods, RetinaNet and YOLOv7, we discuss what strategies need to be considered in this problem setting, and perform both quantitative and qualitative evaluations to study their effects. Additionally, we also propose a new method to further improve accuracy of detection by utilizing information from several consecutive frames. We hope that the practical insights gained in this study can be of use to other researchers and practitioners when targeting applications where the images differ greatly from natural images. [ABSTRACT FROM AUTHOR]

Background: Hysteroscopy plays a crucial role in diagnosing and managing various intrauterine pathologies. However, its execution can be influenced by patients' perception and understanding, which are often shaped by digital resources such as YouTubeTM. Given its popularity and accessibility, YouTubeTM has the potential to greatly influence patients' knowledge and expectations about this procedure, highlighting the need for accurate and reliable information. Purpose: This study aims to assess the reliability and quality of hysteroscopy information available to patients on YouTubeTM. Understanding the nature of information patients' access can help address their fears and potential misunderstandings about the procedure, consequently reducing the likelihood of suspension or postponement due to anxiety. Methods: A comprehensive analysis of YouTubeTM was conducted, simulating the search process of a patient seeking information about hysteroscopy. The study evaluated the reliability and quality of 90 out of the first 100 hysteroscopy-related videos on YouTubeTM, scored by four gynecologists—two experienced hysteroscopists and two trainees. The videos were assessed for reliability and quality using the mDISCERN and Global Quality Scale (GQS) scores. Results: The average mDISCERN and GQS scores for the evaluated videos were below the optimal three points, highlighting the lack of fluency, comprehensiveness, and reliability of the available information. Notably, while videos produced by experts, including doctors and professional channels, had higher scores, they still fell short of the minimum score of 3. These videos also were not considered more suitable for either patients or trainees. Videos that were assessed as reliable (mDISCERN ≥ 3) were observed to be longer and were more frequently produced by doctors. These videos were suggested more to trainees rather than patients. Similarly, videos deemed as fluent and comprehensive (GQS ≥ 3) were longer and were more often recommended to patients. Conclusions: While YouTubeTM is a widely used source of medical information, the quality and reliability of hysteroscopy videos on the platform are poor. The strategic use of selected, high-quality hysteroscopy videos can enhance procedure success and alleviate patient fears. However, the unsupervised discovery of information by patients could potentially lead to procedure failure or an elevated level of stress due to misleading or incorrect information. [ABSTRACT FROM AUTHOR]

This paper presents a new Edge-AI algorithm for real-time and multi-feature (social distancing, mask detection, and facial temperature) measurement to minimize the spread of COVID-19 among individuals. COVID-19 has extenuated the need for an intelligent surveillance video system that can monitor the status of social distancing, mask detection, and measure the temperature of faces simultaneously using deep learning (DL) models. In this research, we utilized the fusion of three different YOLOv4-tiny object detectors for each task of the integrated system. This DL model is used for object detection and targeted for real-time applications. The proposed models have been trained for different data sets, which include people detection, mask detection, and facial detection for measuring the temperature, and evaluated on these existing data sets. Thermal and visible cameras have been used for the proposed approach. The thermal camera is used for social distancing and facial temperature measurement, while a visible camera is used for mask detection. The proposed method has been executed on NVIDIA platforms to assess algorithmic performance. For evaluation of the trained models, accuracy, recall, and precision have been measured. We obtained promising results for real-time detection for human recognition. Different couples of thermal and visible cameras and different NVIDIA edge platforms have been adopted to explore solutions with different trade-offs between cost and performance. The multi-feature algorithm is designed to monitor the individuals continuously in the targeted environments, thus reducing the impact of COVID-19 spread. [ABSTRACT FROM AUTHOR]

Introduction: Active sacroiliitis represents the hallmark of axial spondyloarthritis (axSpA) and manifests as inflammatory low back pain associated with morning stiffness (MS). Sometimes, the combination of non-steroidal anti-inflammatory drugs (NSAIDs) and biological disease modifying drugs (bDMARDs) proves unsatisfactory in achieving a remission. Materials and methods: We enrolled patients affected with active sacroiliitis confirmed via magnetic resonance imaging (MRI) and treated with a corticosteroid sacroiliac joint injection (SIJI) via ultrasound guidance. After SIJI, we evaluated visual–analogue scale (VAS) and MS pain changes. As controls, we selected axSpA patients starting bDMARDs. Results: We enrolled 26 patients (mean age 55 ± 14 years; 25 females and 1 male; > 95% treated with NSAIDs; 46% on bDMARDs; 75.82 ± 123 months) and examined a total of 47 treated joints. We detected a 48% reduction in VAS pain after 24 h. Moreover, we observed a significant reduction (p < 0.0001) of VAS pain between the baseline and every subsequent follow-up visit. Further, a significant difference in VAS pain compared to the baseline in the controls was observed starting from week 12. There was a significant reduction in MS after 1 week due to SIJIs, while in the controls the first significant change from the baseline in MS was detected after 12 weeks. The efficacy of infiltrative therapy lasted up to 6 months: persistent VAS as well as MS pain reduction was observed. Conclusions: US-guided SIJI represents an effective and safe technique for patients who have active sacroiliitis yet are ineligible for biologic treatment or who experience unsatisfactory disease control despite receiving therapy. [ABSTRACT FROM AUTHOR]

The abnormal activation of Src family kinases (SFKs) due to deregulation of the B-cell receptor (BCR) signalling pathway provides a promising target for development of new pharmacological strategy to overcome the ibrutinib resistance in diffuse large B-cell lymphoma (DLBCL). In this work, we demonstrated that Si409, a pyrazolo[3,4-d]pyrimidine-based compound, has the ability to inhibit key members of SFKs and to reduce the proliferation of several B-cell tumor cell lines. Preclinical cytotoxicity profile, in vivo pharmacokinetic (PK) properties, and therapeutic efficacy in subcutaneous murine DLBCL model have been evaluated. Results obtained through these preliminary analyses revealed a promising role of Si409 and suggested its further development for the treatment of DLBCL. [ABSTRACT FROM AUTHOR]

Background: Data on molecular alterations harbored by melanoma brain metastases (MBMs) are limited, and this has hampered the development of more effective therapeutic strategies. We conducted a systematic review and meta-analysis of all the studies reporting DNA sequencing data of MBMs, in order to identify recurrently mutated genes and molecular pathways significantly enriched for genetic alterations. Methods: We searched PubMed, Embase and Scopus for articles published from the inception of each database to June 30, 2021. We included in the analysis all the studies that reported individual patient data on DNA sequencing of MBMs, assessing single nucleotide variants (SNVs) and/or gene copy number variations (CNVs) in at least five tumor samples. Meta-analysis was performed for genes evaluated for SNVs and/or CNVs in at least two studies. Pooled proportions of samples with SNVs and/or CNVs was calculated by applying random-effect models based on the DerSimonian–Laird method. Gene-set enrichment analysis (GSEA) was performed to identify molecular pathways significantly enriched for mutated genes. Results: Ten studies fulfilled the inclusion criteria and were included in the analysis, for a total of 531 samples of MBMs evaluated. Twenty-seven genes were found recurrently mutated with a meta-analytic rate of SNVs higher than 5%. GSEA conducted on the list of these 27 recurrently mutated genes revealed vascular endothelial growth factor-activated receptor activity and transmembrane receptor protein tyrosine kinase activity to be among the top 10 gene ontology (GO) molecular functions significantly enriched for mutated genes, while regulation of apoptosis and cell proliferation were among the top 10 significantly enriched GO biological processes. Notably, a high meta-analytic rate of SNVs was found in several actionable cancer-associated genes, such as all the vascular endothelial growth factor (VEGF) receptor isoforms (i.e., Flt1 and Flt2 genes, for both SNV rate: 0.22, 95% CI 0.04–0.49; KDR gene, SNV rate: 0.1, 95% CI 0.05–0.16). Finally, two tumor suppressor genes were characterized by a high meta-analytic rate of CNVs: CDKN2A/B (CNV rate: 0.59, 95% CI 0.23–0.90) and PTEN (CNV rate: 0.31, 95% CI 0.02–0.95). Conclusion: MBMs harbored actionable molecular alterations that could be exploited as therapeutic targets to improve the poor prognosis of patients. [ABSTRACT FROM AUTHOR]

Background: We retrospectively evaluated safety and performance of magnetic seed localisation of nonpalpable breast lesions. Methods: We reviewed records of patients with nonpalpable breast lesions preoperative localised by placing magnetic Magseed® marker between February 2019 and December 2020. During surgery, Sentimag® magnetic probe was used to localise the marker and guide surgery. Safety, lesion identification and excision with tumour with free margins and re-excision rate were assessed. Results: A total of 77 Magseed® devices were placed into the breasts of 73 patients, 44 under ultrasound and 33 under stereotactic guidance (4 bilateral). All devices were retrieved as were the target lesions. Magnetic marker placement was successful in all cases without any adverse event. Intraoperative identification and excision of the localised lesion were successful in 77 of 77 of cases (100%). In three cases (all of them calcifications with the seed placed under stereotactic guidance), the seed did not reach the exact target position of the biopsy clip; thus, larger excision was needed, with localisation failure attributed to incorrect clip insertion (n = 1) or to clip dislocation (n = 2). Migration of the marker was negligible in all patients. Complete excision after the initial procedure with at least 1-mm disease-free margins was obtained in 74 out of 77 (96.1%) lesions. The re-excision rate was 3 out of 77 (4%). Conclusions: Magnetic marker localisation for nonpalpable breast lesions was safe, reliable, and effective in terms of lesion identification, excision with tumour-free margins and re-excision rate. [ABSTRACT FROM AUTHOR]

COVID-19 is a virus, which is transmitted through small droplets during speech, sneezing, coughing, and mostly by inhalation between individuals in close contact. The pandemic is still ongoing and causes people to have an acute respiratory infection which has resulted in many deaths. The risks of COVID-19 spread can be eliminated by avoiding physical contact among people. This research proposes real-time AI platform for people detection, and social distancing classification of individuals based on thermal camera. YOLOv4-tiny is proposed in this research for object detection. It is a simple neural network architecture, which makes it suitable for low-cost embedded devices. The proposed model is a better option compared to other approaches for real-time detection. An algorithm is also implemented to monitor social distancing using a bird's-eye perspective. The proposed approach is applied to videos acquired through thermal cameras for people detection, social distancing classification, and at the same time measuring the skin temperature for the individuals. To tune up the proposed model for individual detection, the training stage is carried out by thermal images with various indoor and outdoor environments. The final prototype algorithm has been deployed in a low-cost Nvidia Jetson devices (Xavier and Jetson Nano) which are composed of fixed camera. The proposed approach is suitable for a surveillance system within sustainable smart cities for people detection, social distancing classification, and body temperature measurement. This will help the authorities to visualize the fulfillment of the individuals with social distancing and simultaneously monitoring their skin temperature. [ABSTRACT FROM AUTHOR]

Smoke detection represents a critical task for avoiding large scale fire disaster in industrial environment and cities. Including intelligent video-based techniques in existing camera infrastructure enables faster response time if compared to traditional analog smoke detectors. In this work presents a hybrid approach to assess the rapid and precise identification of smoke in a video sequence. The algorithm combines a traditional feature detector based on Kalman filtering and motion detection, and a lightweight shallow convolutional neural network. This technique allows the automatic selection of specific regions of interest within the image by the generation of bounding boxes for gray colored moving objects. In the final step the convolutional neural network verifies the actual presence of smoke in the proposed regions of interest. The algorithm provides also an alarm generator that can trigger an alarm signal if the smoke is persistent in a time window of 3 s. The proposed technique has been compared to the state of the art methods available in literature by using several videos of public and non-public dataset showing an improvement in the metrics. Finally, we developed a portable solution for embedded systems and evaluated its performance for the Raspberry Pi 3 and the Nvidia Jetson Nano. [ABSTRACT FROM AUTHOR]

COVID-19 is a disease caused by a severe respiratory syndrome coronavirus. It was identified in December 2019 in Wuhan, China. It has resulted in an ongoing pandemic that caused infected cases including many deaths. Coronavirus is primarily spread between people during close contact. Motivating to this notion, this research proposes an artificial intelligence system for social distancing classification of persons using thermal images. By exploiting YOLOv2 (you look at once) approach, a novel deep learning detection technique is developed for detecting and tracking people in indoor and outdoor scenarios. An algorithm is also implemented for measuring and classifying the distance between persons and to automatically check if social distancing rules are respected or not. Hence, this work aims at minimizing the spread of the COVID-19 virus by evaluating if and how persons comply with social distancing rules. The proposed approach is applied to images acquired through thermal cameras, to establish a complete AI system for people tracking, social distancing classification, and body temperature monitoring. The training phase is done with two datasets captured from different thermal cameras. Ground Truth Labeler app is used for labeling the persons in the images. The proposed technique has been deployed in a low-cost embedded system (Jetson Nano) which is composed of a fixed camera. The proposed approach is implemented in a distributed surveillance video system to visualize people from several cameras in one centralized monitoring system. The achieved results show that the proposed method is suitable to set up a surveillance system in smart cities for people detection, social distancing classification, and body temperature analysis. [ABSTRACT FROM AUTHOR]

This work presents preliminary results of a multifunctional lightweight material for radiation sensing and protection. The proposed concept is built with off-the-shelf components: molded high-density polyethylene (HDPE) sheets and a commercial carbon black coating designed as a shield for electromagnetic interference (EMI). The HDPE is a hydrogen-rich lightweight material that is commonly used for radiation protection. The carbon black coating is a non-structural, electrically conductive coating that serves here not only the purpose of structural health monitor, but also protects the underlying HDPE structure. The carbon black-coated area in the HDPE samples was instrumented with electrodes for electrical resistance tomography (ERT), the structural monitoring method that we propose in this work. Two types of radiation (UV-C radiation for 24 h and protons with a 50 Gy dose, lethal to humans) were used separately, as representative of a harsh space environment. Fourier transform infrared spectroscopy (FTIR) was applied to selected samples to determine the presence of chemical damage as a result of the radiation exposure. The results support this innovative proof of concept for further investigation in the area of radiation protection and monitoring. [ABSTRACT FROM AUTHOR]

With the arrival of the open-source RISC-V processor architecture, there is the chance to rethink Deep Neural Networks (DNNs) and information representation and processing. In this work, we will exploit the following ideas: i) reduce the number of bits needed to represent the weights of the DNNs using our recent findings and implementation of the posit number system, ii) exploit RISC-V vectorization as much as possible to speed up the format encoding/decoding, the evaluation of activations functions (using only arithmetic and logic operations, exploiting approximated formulas) and the computation of core DNNs matrix-vector operations. The comparison with the well-established architecture ARM Scalable Vector Extension is natural and challenging due to its closedness and mature nature. The results show how it is possible to vectorize posit operations on RISC-V, gaining a substantial speed-up on all the operations involved. Furthermore, the experimental outcomes highlight how the new architecture can catch up, in terms of performance, with the more mature ARM architecture. Towards this end, the present study is important because it anticipates the results that we expect to achieve when we will have an open RISC-V hardware co-processor capable to operate natively with posits. [ABSTRACT FROM AUTHOR]

Endometriosis impairs the quality of life (QoL) of many women, including their social relationships, daily activity, productivity at work, and family planning. The aim of this review was to determine the instruments used to examine QoL in previous clinical studies of endometriosis and to evaluate the effect of medical and surgical interventions for endometriosis on QoL. We conducted a systematic search and review of studies published between January 2010 and December 2020 using MEDLINE. Search terms included "endometriosis" and "quality of life." We only selected studies that used a standardized questionnaire to evaluate QoL before and after medical or surgical interventions. Only articles in the English language were examined. The initial search identified 720 results. After excluding duplicates and applying inclusion criteria, 37 studies were selected for analysis. We found that the two scales most frequently used to measure QoL were the Short Form-36 health survey questionnaire (SF-36) and the Endometriosis Health Profile-30 (EHP-30). Many medical and surgical treatments demonstrated comparable benefits in pain control and QoL improvement. There is no clear answer as to what is the best treatment for improving QoL because each therapy must be personalized for the patient and depends on the woman's goals. In conclusion, women must be informed about endometriosis and given easily accessible information to improve treatment adherence and their QoL. [ABSTRACT FROM AUTHOR]

This work presents a real-time video-based fire and smoke detection using YOLOv2 Convolutional Neural Network (CNN) in antifire surveillance systems. YOLOv2 is designed with light-weight neural network architecture to account the requirements of embedded platforms. The training stage is processed off-line with indoor and outdoor fire and smoke image sets in different indoor and outdoor scenarios. Ground truth labeler app is used to generate the ground truth data from the training set. The trained model was tested and compared to the other state-of-the-art methods. We used a large scale of fire/smoke and negative videos in different environments, both indoor (e.g., a railway carriage, container, bus wagon, or home/office) or outdoor (e.g., storage or parking area). YOLOv2 is a better option compared to the other approaches for real-time fire/smoke detection. This work has been deployed in a low-cost embedded device (Jetson Nano), which is composed of a single, fixed camera per scene, working in the visible spectral range. There are not specific requirements for the video camera. Hence, when the proposed solution is applied for safety on-board vehicles, or in transport infrastructures, or smart cities, the camera installed in closed-circuit television surveillance systems can be reused. The achieved experimental results show that the proposed solution is suitable for creating a smart and real-time video-surveillance system for fire/smoke detection. [ABSTRACT FROM AUTHOR]

Introduction: Primary aim was to provide real-world evidence of the outcomes after the switch to glargine 300 U/ml (Gla-300) from other basal insulins (first or second generation) in Italy. Methods: Multicenter, observational, retrospective study based on electronic medical records. Results: Overall, 953 T2DM insulin ± OAD treated people switched to Gla-300 or Gla-100 from January 2015 to July 2018. Three clinically relevant cohorts were identified: patients switching to Gla-300 from first-generation basal insulin (cohort 1), patients switching to Gla-300 from degludec-100 (Deg-100) (cohort 2), and those switching to Gla-100 from any basal insulin (cohort 3). The three cohorts differed in terms of age, diabetes duration, and metabolic control. HbA1c changes after 6 months from the switch were − 0.27% (95% CI − 0.38; − 0.16), − 0.06% (95% CI − 0.31; 0.19), and − 0.30% (95% CI − 0.51; − 0.09) in the three cohorts, respectively. FPG significantly decreased in cohort 1 (− 14.07 mg/dl, 95% CI − 20.25; − 7.89), while body weight significantly decreased in cohort 2 (− 1.47 kg, 95% CI − 2.55; − 0.39). Doses of insulin marginally changed during the follow-up (+ 0.89 U in basal insulin daily dose in cohort 1 and + 2.07 U in short-acting insulin daily dose in cohort 2). Conclusions: Switching to Gla-300 from first-generation basal insulin in the real world is associated with improvements in metabolic control despite a suboptimal titration of both basal and short-acting insulins. Inertia in insulin titration documented in the Gla-100 cohort is also observed with the second-generation basal insulin. The switch to Gla-300 from Deg-100 was associated with a decrease in body weight of − 1.47 kg despite a slight increase in short-acting insulin daily doses of about + 2 U. [ABSTRACT FROM AUTHOR]

With the advent of image processing and computer vision for automotive under real-time constraints, the need for fast and architecture-optimized arithmetic operations is crucial. Alternative and efficient representations for real numbers are starting to be explored, and among them, the recently introduced posit TM number system is highly promising. Furthermore, with the implementation of the architecture-specific mathematical library thoroughly targeting single-instruction multiple-data (SIMD) engines, the acceleration provided to deep neural networks framework is increasing. In this paper, we present the implementation of some core image processing operations exploiting the posit arithmetic and the ARM scalable vector extension SIMD engine. Moreover, we present applications of real-time image processing to the autonomous driving scenario, presenting benchmarks on the tinyDNN deep neural network (DNN) framework. [ABSTRACT FROM AUTHOR]

The paper presents the design of HDL macrocells, working as hardware accelerators to achieve real time processing of some key functions of Advanced Driver Assistance Systems (ADAS). Particularly, the macrocells process in real time images from Radar and video-camera sensors implementing computing-intensive operations such as: pixel-level filtering, correction of distortions in large field-of-view cameras, multi-camera image fusion for panoramic view of car's surround, traffic and road signs recognition, detection of obstacles for collision avoidance, and estimation of their distance and speed. The HDL macrocells are fully configurable and are synthesized in low-cost Artix-7 FPGA family, satisfying automotive-grade requirements. They can be integrated as accelerators in embedded hardware–software platforms to build a complete ADAS solution. To this aim, the macrocells have been synthesized also in a Zynq FPSoC. With respect to the state of the art, the proposed macrocells stand for their low-power and real time performance. [ABSTRACT FROM AUTHOR]

Chemotherapy for castration-resistant prostate cancer (CRPC) is only temporarily effective due to the onset of chemoresistance. We investigated the efficacy of NO- and H2S-releasing doxorubicins (NitDox and H2SDox) in overcoming drug resistance and evaluated their safety. New and innovative NO- and H2S-releasing doxorubicins (NitDox and H2SDox) showed a good intracellular accumulation and high cytotoxic activity in vitro in an androgen-independent and doxorubicin-resistant DU-145 prostate cancer cell line. Nude mice were subcutaneously injected with 4*106 DU-145 cells and treated once a week for 3 weeks with 5 mg/kg doxorubicin, NitDox, H2SDox or vehicle, i.p. Animal weight, tumor volume, intra-tumoral drug accumulation, apoptosis and the presence of nitrotyrosine and sulfhydryl (SH) groups within the tumor, were evaluated. Cardiotoxicity was assessed by measuring troponin plasma levels and the left ventricular wall thickness. In vivo, NitDox and H2SDox accumulated inside the tumors, significantly reduced tumor volumes by 60%, increased the percentage of apoptotic cells in both the inner and the outer parts of the tumors and the presence of nitrotyrosine and SH groups. Doxorubicin treatment was associated with reduced body weight and cardiotoxicity. On the contrary, NitDox and H2SDox were well tolerated and had a better safety profile. Combining efficacy with reduced cardiovascular side effects, NitDox and H2SDox are promising novel therapeutic agents for reversing chemoresistance in CRCP. [ABSTRACT FROM AUTHOR]

Theories of optimism typically hypothesize that optimism is driven by agents changing their beliefs or view of the world. In this paper, we hypothesize that agents maintain their view of the world, but arrive at an optimistic belief by distorting the information used to update beliefs in a motivated way. We behaviorally identify the information used to update beliefs, which may be a distortion of the information the analyst observes. Given this identification, we provide a novel behavioral definition of optimism that alters Dynamic Consistency to account for both the distorted information and the optimistic nature of the distortion. [ABSTRACT FROM AUTHOR]

Starting from 2010, the 13-valent pneumococcal conjugate vaccine (PCV13) was introduced in several countries. This paper discusses some of the problems recently emerged after PCV13 use and their clinical impact. The impact of PCV13 has been relevant and has saved millions of children and adults by severe infectious diseases. However, it seems likely that in the future, effectiveness of the vaccine might be even higher than that presently evidenced. This is because long-term administration of PCV13 to the pediatric population can favor a more extensive reduction of nasopharyngeal colonization with vaccine serotypes of both vaccinated and unvaccinated subjects and further reduce invasive pneumococcal disease in all the individuals (herd immunity). While waiting for new vaccines to be able to overcome the problem of a limited number of pneumococcal strains included in PCV13, it is recommended to increase pneumococcal vaccination coverage in the entire pediatric population. [ABSTRACT FROM AUTHOR]

Information and Communication Technology and personal robots could play a fundamental role in efficiently managing chronic diseases and avoiding improper medications. They could support senior citizens with reminders, thus promoting their independent living and quality of life, especially in the presence of several chronic diseases (multimorbidity). In this context, this article proposes a service model for personalised medical support that is able to provide adequate healthcare service by means of a hybrid robot-cloud approach. This service was quantitatively and qualitatively tested to assess the technical feasibility and user acceptability level of the service. The service was tested with 23 older people (65-86 years) in the DomoCasa Lab (Italy). This study demonstrated the feasibility of the proposed hybrid cloud solution and the usability and acceptability were positively evaluated thus confirming the ability to utilise these innovative technologies for active and healthy ageing. [ABSTRACT FROM AUTHOR]

The angiogenic pathway plays a pivotal role in tumor growth, invasiveness and metastasis. The most important actors in the angiogenic pathway are VEGFA and its receptors VEGFR1, 2 and 3. These genes are polymorphic, and the presence of single nucleotide polymorphisms may result in angiogenic deregulation. Herein, we hypothesized that germline variants may affect sunitinib efficacy (TTP and OS) and/or toxicity. Therefore, we investigated 19 polymorphisms, in four genes, in 54 GIST patients, treated with second-line sunitinib and 147 healthy controls. Through a multiple candidate gene approach, we also investigated, for the first time, any possible significant associations with GIST susceptibility and clinical pathological features. The most important result shows two associations between polymorphisms in VEGFR3 rs6877011 (CC vs. CG, OR 9.7, 95% CI 3.31-28.4; P < 0.001) and rs7709359 (AA+AG vs. GG, OR 5.01, 95% CI 1.33-18.8; P = 0.017) and TTP. Interestingly, the association between VEGFR3 rs6877011 and TTP maintained the significance after applying the Bonferroni correction for multiple testing ( P = 0.017). We also highlighted the association with sunitinib-related toxicity; in particular, VEGFA polymorphism rs3025039 (CT+TT vs. CC, OR 15.3, 95% CI 2.2-102.1; P = 0.005) is associated with severe toxicity, with the presence of the variant T allele associated with a grade ≥3 AE. Because of the small sample size and large number of tests performed, we cannot ignore the possibility that some associations have been retrieved by chance. However, the influence of VEGF polymorphisms in angiogenesis is a hypothesis worthy of exploration in cellular models and confirmation in a sizeable cohort of patients. [ABSTRACT FROM AUTHOR]

DNA repair pathways play an essential role in cancer susceptibility by maintaining genomic integrity. This led us to investigate the influence of polymorphisms in the genes coding repair pathway enzymes on gastrointestinal stromal tumours (GIST) susceptibility, tumour characteristics and clinical outcome. We investigated a panel of 20 polymorphisms in 11 genes in 81 cases and 147 controls. The XPD rs13181 wild-type allele and hOGG1 rs1052133 and XPF rs1800067 minor alleles were significantly associated with disease susceptibility. XPA rs1800975 and rs2808668 were associated with tumour size ( P = 0.018), metastatic status at onset ( P = 0.035) and mitotic index ( P = 0.002). With regards to outcome treatment, the XPD rs50872 minor allele had a significant favourable impact on time to progression (TTP). Similarly, the XPC rs2228000 minor allele was correlated with a longer TTP ( P = 0.03). On the contrary, the XPC rs2228001 and hOGG1 rs1052133 minor alleles were associated with a diminished TTP ( P = 0.005 and P = 0.01, respectively). Regarding OS, we found the presence of at least one hOGG1 (rs1052133) minor allele that had a 60 % lower risk to die compared to the wild-type carriers ( P = 0.04). Furthermore, the XRCC3 rs861539 variant allele is associated with a hazard of early death compared with the wild-type genotype ( P = 0.04). To the best of our knowledge, this is the first study on polymorphisms in DNA repair genes, belonging to the different pathways, extensively evaluated in GIST patients. Through this multiple candidate gene approach, we report for the first time the significant associations between polymorphisms in DNA repair genes, susceptibility, clinical pathological features and clinical outcome in GIST. [ABSTRACT FROM AUTHOR]

The paper addresses the problem of inductive load drivers for automotive applications. The design integrates single-chip in a 0.35 μm low-cost HVMOS technology both the digital circuitry for control and communication with SPI/CAN vehicle networks and the multi-channel drivers optimized for inductive loads. To face ISO26262 requirements also a diagnostic block is embedded. As proved by experimental measurements on fabricated test-chip each channel can sustain up to 650 mA DC current, 1.1 A pulsed current with clamped energy up to 100 mJ, being compliant with automotive harsh operating conditions of ESD up to 4 kV and temperature range from −40 to 150 °C. [ABSTRACT FROM AUTHOR]

Asymmetrical N, N-bis(alkanol)amine aryl esters (FRA77, GDE6, and GDE19) are potent multidrug resistance (MDR) reversers. Their structures loosely remind that of the Ca antagonist verapamil. Therefore, the aim of this study was to investigate their vascular activity in vitro. Their effects on the mechanical activity of fresh and cultured rat aorta rings on Ca1.2 channel current ( I ) of A7r5 cells and their cytotoxicity on A7r5 and EA.hy926 cells were analyzed. Docking at the rat α subunit of the Ca1.2 channel was simulated in silico. Compounds tested were cytotoxic at concentrations >1 μM (FRA77, GDE6, GDE19) and >10 μM (verapamil) in EA.hy926 cells, or >10 μM (FRA77, GDE6, GDE19) and at 100 μM (verapamil) in A7r5 cells. In fresh rings, the three compounds partly antagonized phenylephrine and 60 mM K (K60)-induced contraction at concentrations ≥1 and ≥3 μM, respectively. On the contrary, verapamil fully relaxed rings pre-contracted with both agents. In cultured rings, 10 μM GDE6, GDE19, FRA77, and verapamil significantly reduced the contractile response to both phenylephrine and K60. Similarly to verapamil, the three compounds docked at the α subunit, interacting with the same amino acids residues. FRA77, GDE6, and GDE19 inhibited I with IC values 1 order of magnitude higher than that of verapamil. FRA77-, GDE6-, and GDE19-induced vascular effects occurred at concentrations that are at least 1 order of magnitude higher than those effectively reverting MDR. Though an unambiguous divergence between MDR reverting and vascular activity is of overwhelming importance, these findings consistently contribute to the design and synthesis of novel and potent chemosensitizers. [ABSTRACT FROM AUTHOR]

A novel configurable DC/DC converter architecture, to be integrated as hard macrocell in automotive embedded systems, is proposed in the paper. It aims at realizing an intelligent voltage regulator. With respect to the state of the art, the challenge is the integration into an automotive-qualified chip of several advanced features like dithering of switching frequency, nested control loops with both current and voltage feedback, asynchronous hysteretic control for low power mode, slope control of the power FET gate driver, and diagnostic block against out-of-range current or voltage or temperature conditions. Moreover, the converter macrocell can be connected to the in-vehicle digital network, exchanging with the main vehicle control unit status/diagnostic flags and commands. The proposed design can be configured to work both in step-up and step-down modes, to face a very wide operating input voltage range from 2.5 to 60 V and absolute range from −0.3 to 70 V. The main target is regulating all voltages required in the emerging hybrid/electric vehicles where, besides the conventional 12 V DC bus, also a 48 V DC bus is present. The proposed design supports also digital configurability of the output regulated voltage, through a programmable divider, and of the coefficients of the proportional-integrative controller inside the nested control loops. Fabricated in 0.35 μm CMOS technology, experimental measurements prove that the IC can operate in harsh automotive environments since it meets stringent requirements in terms of electrostatic discharge (ESD) protection, operating temperature range, out-of-range current, or voltage conditions. [ABSTRACT FROM AUTHOR]

Emerging application scenarios for Cyber Physical Systems often require the networking of sensing and actuation nodes at high data rate and through wireless links. Lot of surveillance and control systems adopt as input sensors distributed video cameras operating at different spectral ranges and covering different fields of view. Arrays of radio/light detection and ranging (Radar/Lidar) sensors are often used to detect the presence of targets, of their speeds, distance and direction. The relevant bandwidth requirement amounts to some Gbps. The wireless connection is essential for easy and flexible deployment of the sensing/actuation nodes. A key technology to keep low the size and weight of the nodes is the fully integration at mm-waves of wireless transceivers sustaining Gbps data rate. To this aim, this paper presents the design of 60 GHz transceiver key blocks (Low Noise Amplifier, Power Amplifier, Antenna) to ensure connection distances up to 10 m and data rate of several Gbps. Around 60 GHz there are freely-available (unlicensed) worldwide several GHz of bandwidth. By using a CMOS Silicon-on-Insulator technology RF, analog and digital baseband circuitry can be integrated single-chip minimizing noise coupling. At mm-wave the wavelength is few mm and hence even the antenna is integrated on chip reducing cost and size vs. off-chip antenna solutions. The proposed transceiver enables at physical layer the implementation in compact nodes of links with data rates of several Gbps and up to 10 m distance; this is suited for home/office scenarios, or on-board vehicles (cars, trains, ships, airplanes) or body area networks for healthcare and wellness. [ABSTRACT FROM AUTHOR]

The paper presents a slew-rate boosted analog amplifier embedded in a digital input driver for automotive actuator control unit (ACU). The whole ACU integrated circuit has been realized in a 0.18 μm CMOS technology with embedded Flash memory. The slew-rate boosted amplifier allows to drive high capacitive loads of power FETs, with rise and fall time of few μs. The IC has been designed to face harsh automotive requirements such as extended ambient temperature range, from −40 to 160 °C, ESD of ±4 kV as proved by experimental measurements on the fabricated IC. [ABSTRACT FROM AUTHOR]

Euclid is a Medium-Class mission of the ESA Cosmic Vision 2015-2025 plan. Thales Alenia Space Italy has been selected as prime contractor for the Euclid design and implementation. The spacecraft will be launched in 2020 on a Soyuz launch vehicle from Kourou, to a large-amplitude orbit around the sun-earth libration point L2. The objective of Euclid is to understand the origin of the Universe's accelerating expansion, by mapping large-scale structure over a cosmic time covering the last 10 billion years. The mission requires the ability to survey a large fraction of the extragalactic sky (i.e. portion of sky with latitude higher than 30 deg with respect to galactic plane) over its lifetime, with very high system stability (telescope, focal plane, spacecraft pointing) to minimize systematic effects. The AOCS is a key element to meet the scientific requirements. The AOCS design drivers are pointing performance and image quality (Relative Pointing Error over 700 s less than 25 m as, 68 % confidence level), and minimization of slew time between observation fields to meet the goal of completing the Wide Extragalactic Survey in 6 years. The first driver demands a Fine Guidance Sensor in the telescope focal plane for accurate attitude measurement and actuators with low noise and fine command resolution. The second driver requires high-torque actuators and an extended attitude control bandwidth. In the design, reaction wheels (RWL) and cold-gas micro-propulsion (MPS) are used in a synergetic and complementary way during different operational phases of the science mode. The RWL are used for performing the field slews, whereas during scientific observation they are stopped not to perturb the pointing by additional mechanical noise. The MPS is used for maintaining the reference attitude with high pointing accuracy during the scientific observation. This unconventional concept achieves the pointing performance with the shortest maneuver times, with significant mass savings with respect to the MPS-only solution. [ABSTRACT FROM AUTHOR]

The development of an embedded system for real-time correction of fish-eye effect is presented. The fish-eye lens is applied to driver assistance video systems because of its wide-angled view. A large field of view can reduce the number of cameras needed for video system and their cost, installation, maintenance and wiring issues. On the other hand, this lens causes inherent radial distortion to image that has to be corrected in real-time with a low-cost and low-power processing platform. This paper proposes a solution that can be easily adapted to different types of lens and camera, and meets real-time constraints with a power budget within 100 mW and a board size of few cm. Starting from mathematical equations, given by the geometrical optics, a state-of-the-art correction method is presented, then optimizations are introduced at different levels: algorithmic level, where a real-time correction parameter calculation avoids extra non-volatile off-chip memory cards; data transfer level, where a new pixel pair management reduces memory access and storage burden; HW-SW implementation level, where a low-power board has been developed and tested in real automotive scenarios. Other applications of the developed system, such as multi-camera and multi-dimensional video systems, are finally presented. [ABSTRACT FROM AUTHOR]

Mutations of genes encoding the subunits of the succinate dehydrogenase (SDH) complex were described in KIT/PDGFRA wild-type GIST separately in different reports. In this study, we simultaneously sequenced the genome of all subunits, SDHA, SDHB, SDHC, and SDHD in a larger series of KIT/PDGFRA wild-type GIST in order to evaluate the frequency of the mutations and explore their biological role. SDHA, SDHB, SDHC, and SDHD were sequenced on the available samples obtained from 34 KIT/PDGFRA wild-type GISTs. Of these, in 10 cases, both tumor and peripheral blood (PB) were available, in 19 cases only tumor, and in 5 cases only PB. Overall, 9 of the 34 patients with KIT/PDGFRA wild-type GIST carried mutations in one of the four subunits of the SDH complex (six patients in SDHA, two in SDHB, one in SDHC). WB and immunohistochemistry analysis showed that patients with KIT/PDGFRA wild-type GIST who harbored SDHA mutations exhibited a significant downregulation of both SDHA and SDHB protein expression, with respect to the other GIST lacking SDH mutations and to KIT/PDGFRA-mutated GIST. Clinically, four out of six patients with SDHA mutations presented with metastatic disease at diagnosis with a very slow, indolent course. Patients with KIT/PDGFRA wild-type GIST may harbor germline and/or de novo mutations of SDH complex with prevalence for mutations within SDHA, which is associated with a downregulation of SDHA and SDHB protein expression. The presence of germline mutations may suggest that these patients should be followed up for the risk of development of other cancers. [ABSTRACT FROM AUTHOR]

Purpose: Celiac disease (CD), a systemic autoimmune disorder that typically involves duodenal mucosa, can also affect other intestinal areas. Duodenal and oral mucosa organ culture has already been demonstrated as a reliable procedure to identify CD. The present study investigated gluten-dependent immunological activation of colonic mucosa in CD patients. We took advantage of the numerous colonoscopies performed for various clinical conditions or only for defensive medicine. Methods: Forty-four patients with gastrointestinal symptoms or in need of colorectal cancer screening were divided into patients with serum anti-endomysium (EMA) and anti-tissue transglutaminase (anti-tTG) antibody positive results (Group A), patients with serum antibody negative results (Group B), and patients with inflammatory bowel disease (IBD) (Group C). The autoantibodies EMA and anti-tTG were evaluated in supernatants of cultured sigmoid and duodenal biopsies from patients on a gluten-containing diet. Results: In Group A, EMA and anti-tTG resulted positive in all duodenal culture supernatants. In sigmoid culture supernatants, EMA and anti-tTG were detected in 12/16 (75 %) and 13/16 (81.3 %) patients, respectively. In Group B, none of the 17 patients showed EMA and anti-tTG positive results in both duodenal and sigmoid cultures. In Group C, all 11 patients presented EMA negative results in sigmoid cultures. Only in one patient, anti-tTG were detectable in the sigmoid culture supernatant, as expected in cases of IBD. Conclusions: Data confirm that the gluten-dependent immunological activation affects more intestinal tracts with different degrees of involvement, suggesting that the organ culture of colonic biopsies could represent a new tool to opportunistically detect CD. [ABSTRACT FROM AUTHOR]

The paper presents a multi-processor architecture for real-time and low-power image and video enhancement applications. Differently from other state-of-the-art parallel architectures the proposed solution is composed of heterogeneous tiles. The tiles have computational and memory capabilities, support different algorithmic classes and are connected by a novel Network-on-Chip (NoC) infrastructure. The proposed packet-switched data transfer scheme avoids communication bottlenecks when more tiles are working concurrently. The functional performances of the NoC-based multi-processor architecture are assessed by presenting the achieved results when the platform is programmed to support different enhancement algorithms for still images or videos. The implementation complexity of the NoC-based multi-tile platform, integrated in 65 nm CMOS technology, is reported and discussed. [ABSTRACT FROM AUTHOR]