Chitosan is a cationic polysaccharide usually obtained by alkaline deacetylation of chitin poly(N-acetylglucosamine). It is biocompatible, biodegradable, mucoadhesive and non-toxic. These excellent biological properties make chitosan a good candidate as platform for developing drug delivery systems with improved biodistribution, increased specificity and sensitivity, and reduced pharmacological toxicity. In particular, chitosan nanoparticles have been found appropriate for non-invasive routes of drug administration: oral, nasal, pulmonary and ocular routes. These applications are facilitated by the absorption-enhancing effect of chitosan. Many different procedures have been proposed for obtaining chitosan nanoparticles. Particularly, the introduction of hydrophobic moieties into chitosan molecules by grafting to generate a hydrophobic-hydrophilic balance promoting self-assembling is a current and appealing approach. The grafting agent can be a hydrophobic moiety to form micelles that can entrap lipophilic drugs or it can be the drug itself. Another suitable way to generate self-assembled chitosan nanoparticles is through the formation of polyelectrolyte complexes with polyanions. This paper reviews the main approaches developed for preparing chitosan nanoparticles by self-assembling by both procedures and illustrates the state of the art of their application in drug delivery.

For the Remotely Piloted Aircraft Systems (RPAS) market to continue its current growth rate, cost-effective "Detect and Avoid" systems that enable safe beyond visual line of sight (BVLOS) operations are critical. We propose an audio-based "Detect and Avoid" system, composed of microphones and an embedded computer, which performs real-time inferences using a sound event detection (SED) deep learning model. Two state-of-the-art SED models, YAMNet and VGGish, are fine-tuned using our dataset of aircraft sounds and their performances are compared for a wide range of configurations. YAMNet, whose MobileNet architecture is designed for embedded applications, outperformed VGGish both in terms of aircraft detection and computational performance. YAMNet's optimal configuration, with > 70% true positive rate and precision, results from combining data augmentation and undersampling with the highest available inference frequency (i.e. 10 Hz). While our proposed "Detect and Avoid" system already allows the detection of small aircraft from sound in real time, additional testing using multiple aircraft types is required. Finally, a larger training dataset, sensor fusion, or remote computations on cloud-based services could further improve system performance.

This paper presents a system developed for the assistance with a collaborative robot in hand-assisted laparoscopic surgery (HALS). The system includes a sensing glove with piezoresistive sensors which capture continuously the flexion degree of the surgeon's fingers. These data are analyzed using an algorithm that detects and recognize the selected movements. This information is sent as commands to the collaborative robot throughout the surgical operation. The bending patterns, speed and execution times of the movements are modelled in a pre-phase in which it will extract all the necessary information for later detection during the motion execution. The results obtained with 10 different volunteers show a high degree of accuracy and a low false discovery rate.

This work demonstrates the antimycotic activity and structural damage of stingless bee propolis against Malassezia pachydermatis,causative agent of canine otitis.Two propolis ethanolic extracts(EEP) derived from the stingless bees, Scaptotrigona mexicana and Tetragonisca angustula were tested against three clinical strains of Malassezia pachydermatis and one of reference (ATCC 14522). Each ethanolic extract of propolis was analyzed by Gas Chromatography – Mass Spectrometry(GC-MS). Antimycotic activity was evaluated by plate microdilution. To evaluate the induced changes in yeasts, by fluorescence microscopy, stains were performed with chalcofluor white and propidium iodide. For both propolis, sesquiterpenes were the main components determined by GC-MS. Minimum inhibitory concentration (MIC) of 32 mg/mL and a minimum fungicidal concentration of 64 mg/Ml were determined in both extracts. EPP of Scaptotrigona mexicana and Tetragonisca angustula caused significant damage to yeast morphology. Propidium iodide penetration was observed, indicating damage to the yeast and with calcofluor-white stain, only morphology deformation was observed..The antimycotic activity and structural damage of propolis from Scaptotrigona mexicana and Tetragonisca angustula against Malassezia pachydermtais was demonstrated .This probably being the first scientific report that demonstrates structural damage in Malassezia pachydermatis of Mexican stingless bee propolis

Background: This study aimed to estimate the prevalence of sexualized drug use (SDU) in gay, bisexual, and other men who have sex with men living with HIV (HIV+GBMSM) in Madrid during 2019/2020 and compare it with data from 2016/2017. Methods: We analysed the frequency of SDU in a sample of HIV+GBMSM attending HIV clinics, who participated in an anonymous online survey regarding sexual behaviour and recreational drug use. The association between SDU, sexual risk behaviours, and STIs was evaluated. The methodology employed in the present study(U-SEX-2) in 2019/2020 was consistent with that of a previous study(U-SEX-1) in 2016/2017. Results: The study included 424 HIV+GBMSM, with a mean age of 40(10.43) years. Overall, 94% (396) reported being sexually active. Additionally, 33% (140) had been diagnosed with an STI within the previous year. Moreover, 54% (229) had used drugs in the last year, 25% (107) engaged in SDU, and 15% (17) reported engagement in slamsex. After adjusting for confounding factors, SDU was associated with STIs, fisting, unprotected anal intercourse, and having > 24 sexual partners in the last year. According to the DUDIT test scores, 76% (81) probably had problematic drug use (≥6 points), and 5% (8) probable drug dependence (≥25 points). When comparing the U-SEX-1(2016/2017) data with the U-SEX-2(2019/2020) data, no significant differences were found in the proportion of participants practicing SDU or slamsex. Conclusion: The prevalence of SDU among HIV+GBMSM has remained high in recent years and without significant changes. We observed a clear association between SDU, high-risk sexual behaviors, STIs, and the risk of drug related problems.