Kurcuma: a kitchen utensil recognition collection for unsupervised domain adaptation

The use of deep learning makes it possible to achieve extraordinary results in all kinds of tasks related to computer vision. However, this performance is strongly related to the availability of training data and its relationship with the distribution in the eventual application scenario. This question is of vital importance in areas such as robotics, where the targeted environment data are barely available in advance. In this context, domain adaptation (DA) techniques are especially important to building models that deal with new data for which the corresponding label is not available. To promote further research in DA techniques applied to robotics, this work presents Kurcuma (Kitchen Utensil Recognition Collection for Unsupervised doMain Adaptation), an assortment of seven datasets for the classification of kitchen utensils—a task of relevance in home-assistance robotics and a suitable showcase for DA. Along with the data, we provide a broad description of the main characteristics of the dataset, as well as a baseline using the well-known domain-adversarial training of neural networks approach. The results show the challenge posed by DA on these types of tasks, pointing to the need for new approaches in future work.Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This work was supported by the I+D+i project TED2021-132103A-I00 (DOREMI), funded by MCIN/AEI/10.13039/501100011033. Some of the computing resources were provided by the Generalitat Valenciana and the European Union through the FEDER funding program (IDIFEDER/2020/003). The second author is supported by grant APOSTD/2020/256 from “Programa I+D+i de la Generalitat Valenciana”

Domain adaptation for staff-region retrieval of music score images

Optical music recognition (OMR) is the field that studies how to automatically read music notation from score images. One of the relevant steps within the OMR workflow is the staff-region retrieval. This process is a key step because any undetected staff will not be processed by the subsequent steps. This task has previously been addressed as a supervised learning problem in the literature; however, ground-truth data are not always available, so each new manuscript requires a preliminary manual annotation. This situation is one of the main bottlenecks in OMR, because of the countless number of existing manuscripts , and the associated manual labeling cost. With the aim of mitigating this issue, we propose the application of a domain adaptation technique, the so-called Domain-Adversarial Neural Network (DANN), based on a combination of a gradient reversal layer and a domain classifier in the inference neural architecture. The results from our experiments support the benefits of our proposed solution, obtaining improvements of approximately 29% in the F-score.Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This paper is part of the I+D+i PID2020-118447RA-I00 (MultiScore) project funded by MCIN/AEI/10.13039/501100011033. The first author acknowledges support from the “Programa I+D+i de la Generalitat Valenciana” through grants ACIF/2019/042 and CIBEFP/2021/72. This work also draws on research supported by the Social Sciences and Humanities Research Council (895-2013-1012) and the Fonds de recherche du Québec-Société et Culture (2022-SE3-303927)

Estudi sobre la relació entre episotomía i esquinç en els parts eutòcis de la Fundació Hospital de Manacor (FHM)

Objectiu: Determinar la incidència d’esquinços i sutures del total de parts eutòcics de FHM i intentar correlacionar el risc d’esquinç en funció de diferents variables durant el part. Material i mètode: Estudi descriptiu restrospectiu durant el 4t trimestre de 2007 de 269 parts eutòcics agafant com a variables l’edat, paritat, administració d’anestèsia epidural, hores d’expulsiu, realització d’episiotomia, esquinç i grau. Resultats: Sembla ser que pesos fetals majors de 3.5kg tenen un 20% més de risc d’esquinç(OR:1.2). Períodes amb expulsiu superior a l’hora es correlacionen amb 10% menys d’esquinços (OR:0.9).de la mateixa manera que el risc d’esquinç de les parteres amb un expulsiu que no se’ls ha practicat episiotomia i que ha durat més d’una hora és el doble que aquelles amb un expulsiu inferior a una hora (OR:2.0).Objective: To study the perineal lacerations and suture incidence of the total amount of normal deliveries in our Hospital and to correlate the laceration risk between different variables. Material and methods: Aretrospective population-based study was carried out on the 269 normal deliveries during the 4th trimester of 2007 taking as variables: age, parity, epidural anesthesia administration, expulsion stage, episiotomy, laceration and grade. Results: It seems that foetal weight of 3.5Kg or more has a 20% increased risk of laceration (OR:1.2). If the expulsion stage is longer than an hour, it is related with a 10% lower tax of laceration (OR:0.9), in the same way, we find a double increased risk of laceration for those women who haven’t an episiotomy and have a prolonged expulsive stage(OD:2.0)

Development and psychometric properties of the human papillomavirus‑quality of life (HPV‑QoL) questionnaire to assess the impact of HPV on women health‑related‑quality‑of‑life.

Purpose The HPV-Quality-of-Life (HPV-QoL) questionnaire was developed to determine the impact of Human-Papillomavirus (HPV) infection and related interventions on women health-related quality-of-life. This study provides the development and preliminary psychometric properties of a novel HPV-QoL questionnaire for adult women with HPV. Methods After reviewing literature and cognitive debriefing interviews in women who had experienced HPV-related conditions, instrument items and domains were developed. A draft questionnaire was pilot tested for comprehension and ease of completion. Psychometric evaluation of the final HPV-QoL scale was conducted in a psychometric study including 252 adult women derived to our centre by a positive HPV test in the cervical cancer screening program and/or presenting genital warts. Results The present study reveals that the HPV-QoL questionnaire, structured in four domains: general well-being [including psychological well-being and social well-being subdomains], health, contagiousness and sexuality, showed good metric properties of feasibility irrespective of age or educational level, and time to administer was less than 5 min. Internal consistency and temporal stability (reliability) showed values above the acceptable standards. The instrument showed its concurrent validity by means of a significant correlation with mental and sexual existing instruments; GHQ-12 and FSFI questionnaires, respectively, and also known groups validity showing significant differences among the subgroups regarding either sexual dysfunction or mental deterioration. Conclusion This study provides an HPV-QoL questionnaire with an innovative patient-reported outcomes specific measurement tool to assess HRQoL in women with HPV infection. The present study suggests this questionnaire has satisfactory psychometric properties, including validity and reliability. Results support the use of the HPV-QoL questionnaire as a HRQoL measurement instrument for daily medical practice and clinical research.pre-print927 K

Cyclodextrin/poly(anhydride) nanoparticles as drug carriers for the oral delivery of atovaquone.

The aim was to study the ability of bioadhesive cyclodextrin-poly(anhydride) nanoparticles as carriers for the oral delivery of atovaquone (ATO). In order to increase the loading capacity of ATO by poly(anhydride) nanoparticles, the following oligosaccharides were assayed: 2-hydroxypropyl-β-cyclodextrin (HPCD), 2,6-di-O-methyl-β-cyclodextrin (DCMD), randomly methylated-β-cyclodextrin (RMCD) and sulfobuthyl ether-β-cyclodextrin (SBECD). Nanoparticles were obtained by desolvation after the incubation between the poly(anhydride) with the ATO-cyclodextrin complexes. For the pharmacokinetic studies, ATO formulations were administered orally in rats. Overall, ATO displayed a higher affinity for methylated cyclodextrins than for the other derivatives. However, for in vivo studies, both ATO-DMCD-NP and ATO-HPCD-NP were chosen. These nanoparticle formulations showed more adequate physicochemical properties in terms of size (75%). In vivo, nanoparticle formulations induced higher and more prolonged plasmatic levels of atovaquone than control suspensions of the drug in methylcellulose. Relative bioavailability of ATO when loaded in nanoparticles ranged from 52% (for ATO-HPCD NP) to 71% (for ATO-DMCD NP), whereas for the suspension control formulation the bioavailability was only about 30%. The encapsulation of atovaquone in cyclodextrins-poly(anhydride) nanoparticles seems to be an interesting strategy to improve the oral bioavailability of this lipophilic drug

Statistical semi-supervised system for grading multiple peer-reviewed open-ended works

In the education context, open-ended works generally entail a series of benefits as the possibility of develop original ideas and a more productive learning process to the student rather than closed-answer activities. Nevertheless, such works suppose a significant correction workload to the teacher in contrast to the latter ones that can be self-corrected. Furthermore, such workload turns to be intractable with large groups of students. In order to maintain the advantages of open-ended works with a reasonable amount of correction effort, this article proposes a novel methodology: students perform the corrections using a rubric (closed Likert scale) as a guideline in a peer-review fashion; then, their markings are automatically analyzed with statistical tools to detect possible biased scorings; finally, in the event the statistical analysis detects a biased case, the teacher is required to intervene to manually correct the assignment. This methodology has been tested on two different assignments with two heterogeneous groups of people to assess the robustness and reliability of the proposal. As a result, we obtain values over 95% in the confidence of the intra-class correlation test (ICC) between the grades computed by our proposal and those directly resulting from the manual correction of the teacher. These figures confirm that the evaluation obtained with the proposed methodology is statistically similar to that of the manual correction of the teacher with a remarkable decrease in terms of effort.This work has been supported by the Vicerrectorado de Calidad e Innovación Educativa-Instituto de Ciencias de la Educación of the Universidad de Alicante (2016-17 edition) through the Programa de Redes-I3CE de investigación en docencia universitaria (ref. 3690)

Multi-GPU Development of a Neural Networks Based Reconstructor for Adaptive Optics

Aberrations introduced by the atmospheric turbulence in large telescopes are compensated using adaptive optics systems, where the use of deformable mirrors and multiple sensors relies on complex control systems. Recently, the development of larger scales of telescopes as the E-ELT or TMT has created a computational challenge due to the increasing complexity of the new adaptive optics systems. The Complex Atmospheric Reconstructor based on Machine Learning (CARMEN) is an algorithm based on artificial neural networks, designed to compensate the atmospheric turbulence. During recent years, the use of GPUs has been proved to be a great solution to speed up the learning process of neural networks, and different frameworks have been created to ease their development. The implementation of CARMEN in different Multi-GPU frameworks is presented in this paper, along with its development in a language originally developed for GPU, like CUDA. This implementation offers the best response for all the presented cases, although its advantage of using more than one GPU occurs only in large networks

VIGICOP: autonomous surveillance robots with Sodar detection and autonomous navigator

The main goal of the project described in this paper is to create a security system using autonomous surveillance robots that use SODAR-like detection system sensors, working with acoustic signals in air environment and navigation base on Geographic Information System and Markov's models. The surveillance system based on SONAR provides great information from the environment, even lets you see behind objects (rebounds effects) whose manipulation offers a great added value to surveillance The guide system will implement in one hand a local navigation module directed to avoid obstacles based on classical techniques and using the new SODAR sensor. On the other hand a global navigation module will be implemented using preset trajectories and gradient techniques and an auto-location system. One of the greatest challenges obtained is the definition of the VIGICOPVar variable that defines, depending on the environment and safety parameters, the probability of intrusion. Surveillance experts of GRUPO NORTE (multinational company with security expertise of more than 38 years) have worked In the definition and validation of the model. The monitoring robots will be controlled in a centralized way from an alarm center from where you can manage all information relating to intrusion detected. VIGICOP is the low cost surveillance robot which provides new/full information interactive surveillance informatio

Risk-based inspection as a cost-effective strategy to reduce human exposure to cysticerci of Taenia saginata in low-prevalence settings

Taenia saginata cysticercus is the larval stage of the zoonotic parasite Taenia saginata, with a life-cycle involving both cattle and humans. The public health impact is considered low. The current surveillance system, based on post-mortem inspection of carcasses has low sensitivity and leads to considerable economic burden. Therefore, in the interests of public health and food production efficiency, this study aims to explore the potential of risk-based and cost-effective meat inspection activities for the detection and control of T. saginata cysticercus in low prevalence settings