Identifying Security and Privacy Violation Rules in Trigger-Action IoT Platforms with NLP Models

Trigger-Action platforms are systems that enable users to easily define, in terms of conditional rules, custom behaviors concerning Internet-of-Things (IoT) devices and web services. Unfortunately, although these tools stimulate the cre- ativity of users in building automation, they may also introduce serious risks for the users. Indeed, trigger-action rules can lead to the possibility of users harming themselves, for example by unintentionally disclosing non-public information, or unwillingly exposing their smart environment to cyber-threats. In this pa- per, we propose to use Natural Language Processing (NLP) techniques to detect automation rules, defined within Trigger- Action IoT platforms, that potentially violate the security or privacy of the users. The proposed NLP-based models capture the semantic and contextual information of the trigger-action rules by applying classification techniques to different combinations of rule’s features. We evaluate the proposed solution with the mainstream trigger-action platform, namely IFTTT, by training the NLP models with a dataset of 76,741 rules labeled by using an ensemble of three semi-supervised learning techniques. The experimental results demonstrate that the model based on BERT (Bidirectional Encoder Representations from Transformers) ob- tains the highest performances when trained on all features, achieving average Precision and Recall values between 88% and 93%. We also compare the achieved performances with those of a baseline system implementing information flow analysis

Life-Threatening Constipation Induced by Intrathecal Baclofen Therapy

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Spasticity and Dystonia: A Brief Review

Spasticity and dystonia are two neurological conditions with a broad range of clinical manifestations that can emerge at any age. Although the spasticity and dystonia symptoms are caused by different pathophysiological mechanisms, both of them may cause functional impairment that contributes to a poor quality of life. Spasticity is characterised by a velocity-dependent increase in tonic stretch reflexes with exaggerated tendon jerks, resulting from hyperexcitability of the stretch reflex. It mostly occurs in disorders of the central nervous system (CNS) affecting the upper motor neurons, such as multiple sclerosis, amyotrophic lateral sclerosis, cerebrovascular diseases, cerebral palsy, traumatic brain injury, stroke, and spinal cord injury. Therapeutic options may combine, in various proportions, physical therapy, occupational therapy, self-rehabilitation, the use of orthoses and assistive devices, drug treatment, orthopaedic surgery, and neurosurgery. Dystonia is defined as a syndrome of involuntary movement that manifests as excessive muscle contractions that frequently cause twisting and repetitive movements or abnormal postures. It is often intensified or exacerbated by physical activity, and symptoms may progress into adjacent muscles. Dystonia has many different manifestations and causes, and many different treatment options are available. These options include physical and occupational therapy, oral medications, intramuscular injection of botulinum toxins, and neurosurgical interventions

Effect of pH on in vitro biocompatibility of orthodontic miniscrew implants

BACKGROUND: Although the clinical use of miniscrews has been investigated on a large scale, little is known about their biocompatibility. Since low pH can affect corrosion resistance, the aim of this study was to evaluate the cytotoxic effect of orthodontic miniscrews in different pH conditions. METHODS: Four orthodontic miniscrews of stainless steel and grade IV and grade V titanium were immersed in a pH 7 and pH 4 saline solution for 1, 7, 14, 21, 28, and 84 days. Human osteogenic sarcoma cells (U2OS), permanent human keratinocytes (HaCat), and primary human gingival fibroblasts (HGF) were exposed to eluates, and the mitochondrial dehydrogenase activity was measured after 24 h to assess the cytoxicity. The results were analyzed using the Mann-Whitney U test (P < 0.05). RESULTS: When exposed to pH 7-conditioned eluates, the cell lines showed an even greater viability than untreated cells. On the contrary, the results revealed a statistically significant decrease in U2OS, HaCat, and HGF viability after exposure to eluates obtained at pH 4. Among the cell lines tested, HGF showed the most significant decrease of mitochondrial activity. Interestingly, grade V titanium miniscrews caused highest toxic effects when immersed at pH 4. CONCLUSIONS: The results suggested that at pH 7, all the miniscrews are biocompatible while the eluates obtained at pH 4 showed significant cytotoxicity response. Moreover, different cell lines can produce different responses to miniscrew eluates

A phase II, randomized, single-blinded, placebo-controlled clinical trial on the efficacy of Curcumina and Calendula suppositories for the treatment of patients with chronic prostatitis/chronic pelvic pain syndrome type III

Objective: The management of chronic prostatitis/ chronic pelvic pain syndrome type III (CP/CPPS) has been always considered complex due to several biopsychological factors underling the disease. In this clinical study, we aimed to evaluate the efficacy of the treatment with Curcumin and Calendula extract in patients with CP/CPPS III. Material and methods: From June 2015 to January 2016 we enrolled 60 consecutive patients affected by CP/CPPS III in our institution. Patients between 20 and 50 year of age with symptoms of pelvic pain for 3 months or more before study, a total National Institutes of Health Chronic Prostatitis Symptom Index (NIH-CPSI) score ≥ 15 point and diagnosed with NIH category III. Patients were then allocated to receive placebo (Group A) or treatment (Group B). Treatment consisted of rectal suppositories of Curcumin extract 350 mg (95%) and Calendula extract 80 mg (1 suppository/die for 1 month). Patients of Group B received 1 suppository/die for 1 month of placebo. The primary endpoint of the study was the reduction of NIH-CPSI. The secondary outcomes were the change of peak flow, IIEF-5, VAS score and of premature ejaculation diagnostic tool (PEDT). Results: A total of 48 patients concluded the study protocol. The median age of the all cohort was 32.0 years, the median NIH-CPSI was 20.5, the median IIEF-5 was 18.5, the median PEDT was 11.0, the median VAS score was 7.5 and the median peak flow was 14.0. After 3 months of therapy in group A we observed a significant improvement of NIH-CPSI (-5.5; p &lt; 0.01), IIEF-5 (+ 3.5; p &lt; 0.01), PEDT (-6.5; p &lt; 0.01), peak flow (+2.8; p &lt; 0.01) and VAS (-6.5; p &lt; 0.01) with significant differences over placebo group (all p-value significant). Conclusions: In this phase II clinical trial we showed the clinical efficacy of the treatment with Curcumin and Calendula in patients with CP/CPPS III. The benefits of this treatment could be related to the reduction of inflammatory cytokines and of inflammatory cells. These results should be confirmed in further studies with greater sample size

Fine-Grained Emotion Recognition Using Brain-Heart Interplay Measurements and eXplainable Convolutional Neural Networks

Emotion recognition from electro-physiological signals is an important research topic in multiple scientific domains. While a multimodal input may lead to additional information that increases emotion recognition performance, an optimal processing pipeline for such a vectorial input is yet undefined. Moreover, the algorithm performance often compromises between the ability to generalize over an emotional dimension and the explainability associated with its recognition accuracy. This study proposes a novel explainable artificial intelligence architecture for a 9-level valence recognition from electroencephalographic (EEG) and electrocardiographic (ECG) signals. Synchronous EEG-ECG information are combined to derive vectorial brain-heart interplay features, which are rearranged in a sparse matrix (image) and then classified through an explainable convolutional neural network. The proposed architecture is tested on the publicly available MAHNOB dataset also against the use of vectorial EEG input. Results, also expressed in terms of confusion matrices, outperform the current state of the art, especially in terms of recognition accuracy. In conclusion, we demonstrate the effectiveness of the proposed approach embedding multimodal brain-heart dynamics in an explainable fashion

Improving Emotion Recognition Systems by Exploiting the Spatial Information of EEG Sensors

Electroencephalography (EEG)-based emotion recognition is gaining increasing importance due to its potential applications in various scientific fields, ranging from psychophysiology to neuromarketing. A number of approaches have been proposed that use machine learning (ML) technology to achieve high recognition performance, which relies on engineering features from brain activity dynamics. Since ML performance can be improved by utilizing 2D feature representation that exploits the spatial relationships among the features, here we propose a novel input representation that involves re-arranging EEG features as an image that reflects the top view of the subject’s scalp. This approach enables emotion recognition through image-based ML methods such as pre-trained deep neural networks or "trained-from-scratch" convolutional neural networks. We have employed both of these techniques in our study to demonstrate the effectiveness of our proposed input representation. We also compare the recognition performance of these methods against state-of-the-art tabular data analysis approaches, which do not utilize the spatial relationships between the sensors. We test our proposed approach using two publicly available benchmark datasets for EEG-based emotion recognition tasks, namely DEAP and MAHNOB-HCI. Our results show that the "trained-from-scratch" convolutional neural network outperforms the best approaches in the literature, achieving 97.8% and 98.3% accuracy in valence and arousal classification on MAHNOB-HCI, and 91% and 90.4% on DEAP, respectively

From local counterfactuals to global feature importance: efficient, robust, and model-agnostic explanations for brain connectivity networks

Background: Explainable artificial intelligence (XAI) is a technology that can enhance trust in mental state classifications by providing explanations for the reasoning behind artificial intelligence (AI) models outputs, especially for high-dimensional and highly-correlated brain signals. Feature importance and counterfactual explanations are two common approaches to generate these explanations, but both have drawbacks. While feature importance methods, such as shapley additive explanations (SHAP), can be computationally expensive and sensitive to feature correlation, counterfactual explanations only explain a single outcome instead of the entire model. Methods: To overcome these limitations, we propose a new procedure for computing global feature importance that involves aggregating local counterfactual explanations. This approach is specifically tailored to fMRI signals and is based on the hypothesis that instances close to the decision boundary and their counterfactuals mainly differ in the features identified as most important for the downstream classification task. We refer to this proposed feature importance measure as Boundary Crossing Solo Ratio (BoCSoR), since it quantifies the frequency with which a change in each feature in isolation leads to a change in classification outcome, i.e., the crossing of the model's decision boundary. Results and conclusions: Experimental results on synthetic data and real publicly available fMRI data from the Human Connect project show that the proposed BoCSoR measure is more robust to feature correlation and less computationally expensive than state-of-the-art methods. Additionally, it is equally effective in providing an explanation for the behavior of any AI model for brain signals. These properties are crucial for medical decision support systems, where many different features are often extracted from the same physiological measures and a gold standard is absent. Consequently, computing feature importance may become computationally expensive, and there may be a high probability of mutual correlation among features, leading to unreliable results from state-of-the-art XAI methods

Endothelial progenitor cells and erectile dysfunction: a brief review on diagnostic significance and summary of our experience.

The article provides a brief review of the literature concerning the diagnostic use of endothelial progenitor cells in patients with erectile dysfunction. In particular, patients with arterial erectile dysfunction could benefit from the use of this diagnostic marker, which in clinical practice can be used together with more conventional methods such as the penile Doppler. It is very important to acquire diagnostic tools for the diagnosis of sub clinical form of endothelial dysfunction in these patients, in particular when the erectile dysfunction is associated with cardiovascular risk factors

Different levels of Cd45pos leukocytes in the semen of patients with low testicular volume.

The aim of this study was to evaluate the concentrations of CD45pos leukocytes in the semen samples of infertile patients with low testicular volume (TV) compared to subjects with normal TV. The testis was considered normal in size when it had a volume between 15 and 25 cm3, low–normal with a volume between 10 and 12 cm3 and hypotrophic when the volume was <10 cm3. The patients with low testicular volume (<10 cm3) showed significantly higher concentrations of CD45pos leukocytes compared to other groups ( P <0.05). The correlation analysis showed the presence of a positive linear relationship between CD45pos leukocytes and the percentage of immature germ elements (r = 0.88; P <0.05) and between CD45pos leukocytes and the percentage of spermatozoa with phosphatidylserine externalisation (r = 0.90; P <0.05) as well as a negative linear relationship between the percentage of spermatozoa with normal morphology and the seminal CD45pos leukocyte concentrations ( r = −0.75; P <0.05). The results of this study showed that patients with low testicular volume (<10 cm3) have significantly increased CD45pos leukocyte concentrations associated with increased percentages of immature germ elements, spermatozoa with signs of early apoptosis and spermatozoa with abnormal morphology