We investigated DAB1-protein deficiency in the inner-ear development of yotari in comparison to humans and wild-type (wt) mice by immunofluorescence for the expression of connexins (Cxs) and the pannexin Panx1. The spatial and temporal dynamics of Cx26, Cx32, Cx37, Cx40, Cx43, Cx45, and Panx1 were determined in the sixth and eighth weeks of human development and at the corresponding mouse embryonic E13.5 and E15.5, in order to examine gap junction intercellular communication (GJIC) and hemichannel formation. The quantification of the area percentage covered by positive signal was performed for the epithelium and mesenchyme of the cochlear and semicircular ducts and is expressed as the mean ± SD. The data were analysed by one-way ANOVA. Almost all of the examined Cxs were significantly decreased in the cochlear and semicircular ducts of yotari compared to wt and humans, except for Cx32, which was significantly higher in yotari. Cx40 dominated in human inner-ear development, while yotari and wt had decreased expression. The Panx1 expression in yotari was significantly lower than that in the wt and human inner ear, except at E13.5 in the mesenchyme of the wt and epithelium and mesenchyme of humans. Our results emphasize the relevance of GJIC during the development of vestibular and cochlear functions, where they can serve as potential therapeutic targets in inner-ear impairments.

Architectural patterns are solutions to common problems in software design. These usually tackle one or more customer requirements (business, functional, or quality requirements). As continuous deployment becomes more important for satisfying customer’s experience in software projects, there is a greater need in supporting continuous integration as its prerequisite. The nature of architectural design patterns is that some are more suitable for continuous integration then others. However, the existing approaches do not prescribe how to tailor architectural design considering integration challenges.To identify patterns suitable for continuous integration, we present a methodology for identification of architectural design patterns that support continuous integration based on continuous assessment. Our methodology, based on Aglie, enables DevOps engineers to assess their integration experience considering design changes, implementation changes, and creation of new version deliverables. The methodology complements common DevOps activities and introduces templates for communicating feedback from DevOps engineers to architects. Architects handle the communicated feedback as requirements and optimise their design accordingly. In this way, the design decisions take shape of solution patterns that, besides other existing requirements, satisfy requirements necessary to facilitate continuous integration.

Recently, much attention has been paid to the reuse of bauxite residues from alumina production, also known as red mud, in the cement industry. Red mud bears the potential to improve concrete properties due to its favourable chemical composition and particle size. In this work, the synergy between locally available red mud and common supplementary cementitious materials such as fly ash, slag, calcined clay and limestone in cement mixes is investigated. All materials used were sourced from the immediate vicinity of the cement plant. The study of synergy involved the evaluation of the individual chemical reactivity of each material using the R3 test by isothermal calorimetry as well as their joint contribution to the heat of hydration and the composition of the reaction products of the paste and the compressive strength of the mortar. The results show how, by understanding the synergy between the materials, a higher level of cement substitutions can be achieved without compromising the mechanical properties of the mortar.

The majority of people with Autism Spectrum Disorder (ASD) exhibit difficulties in social communication and behavior, which hinder their learning capability, amid others. Among technological solutions for people with ASD, serious games are frequently used to enhance learning of specific skills and instructional contents. However, because of heterogeneity in applications and game design, few studies have investigated their use in training daily activities. This paper presents a 3D personalized serious game we developed and validated to help ASD patients practice with shopping activities. Personalized training is paramount in people with ASD, thus several elements of this game were personalized to improve engagement and therefore the effectiveness of the virtual training. In order to assess the validity of the game, ten subjects (age $\text{11.9} \pm \text{2.7}$, 20% female) with ASD played ten sessions of the serious game, once per week. The participants underwent a real-life experience pre- and post-training in a real-life supermarket. Changes in daily living skills among participants were evaluated through specific tools: a form based on the International Classification of Functioning, Disability and Health for Children and Youth; and the Vineland Adaptive Behavior Scale II. Significant improvements (p$< $0.05) were detected in the main skills trained with the serious game, especially in learning the shopping procedure, directing attention, and problem-solving skills. These findings suggest that personalized serious games can represent a prominent tool to enhance daily living skills, but future work should clinically validate their efficacy.

Performance of neural networks greatly depends on quality, size and balance of training dataset. In a real environment datasets are rarely balanced and training deep models over such data is one of the main challenges of deep learning. In order to reduce this problem, methods and techniques are borrowed from the traditional machine learning. Conversely, generative adversarial networks (GAN) were created and developed, a relatively new type of generative models that are based on game theory and consist of two neural networks, a generator and a discriminator. The generator’s task is to create a sample from the input noise that is based on training data distribution and the discriminator should detect those samples as fake. This process goes through a finite number of iterations until the generator successfully fools the discriminator. When this occurs, sample becomes a part of new (augmented) dataset. Even though the original GAN creates unlabeled samples, variants that soon appeared removed that limitation. Generating artificial data through these networks appears to be a meaningful solution to the imbalance problem since it turned out that artificial samples created by GAN are difficult to differentiate from the real ones. In this manner, new samples of minority class could be created and dataset imbalance ratio lowered.

Background: Sonography plays an important role in characterizing breast masses and in guiding needle core biopsies and wire localizations of suspicious sonographis abnormalities. Objective: The aim of this study was to show the possibilities of high frequency ultrasound devices in the presentation of microcalcifications of the breast, and the use of these possibilities in performing needle biopsy under ultrasound control. Methods: This was a retrospective study conducted from May 2017 to December 2020 on 32 women, 29-86 years of age using mammograms and ultrasound to show suspected microcalcifications (radiological findings of BI RADS 4B and 4C), and needle biopsy led by ultrasound that confirmed the diagnosis of breast cancer. Patients with suspected microcalcifications on mammography that had previously had the diagnosis of breast cancer confirmed in the same or contralateral breast were excluded from the study. Histology results from each core biopsy and surgical excision were reviewed. The positive predictive values of sonography and mammography for this population were calculated, and the sensitivity, specificity, and negative predictive value of sonography were determined. For analysis of the agreement of ultrasound findings with mammography the McNemar x2-test for dependent samples was used. Results: The sensitivity of mammography in the detection of microcalcifications in this study was 100%. The sensitivity of the ultrasound apparatus with a high frequency probe in the detection of microcalcifications after mammography examination in this study was 87.55%, while the specificity was 42.85%. Conclusion: Ultrasonic devices with high-frequency probes enable the display of accumulations of microcalcifications previously verified by mammography, and thus enable the performance of needle biopsy of suspected microcalcifications under ultrasonic control. An alternative is the much more complicated and significantly more expensive stereotactic biopsy under the control of mammography.

Background: The most commonly used diagnostic tests for evaluation of the dental fear and anxiety (DFA) presence in children were psychometric scales, where interpretation in determining and using of their cut-off scores sometimes was not completely exact. Also, several studies have been conducted where the results were conflicting in terms of who better assessed the DFA presence - the children, their parents, or dentists. Objective: To determine the normative values in the child and parental versions of the Modified version of the CFSS-DS scale (CFSS-DS-mod scale) and to compare the ways in which children, their parents, and the dentist assessed the DFA presence in the dental office. Methods: Survey sample consisted of 200 children aged from 9 to 12 years, whose DFA presence was determined by the CFSS-DS-mod scale. Child parents answered to their version of this scale, and the dentist observed the child behavior in the dental office during the treatment using Venham Anxiety and Behaviour Rating Scales. Results: Parental version of the CFSS-DS-mod scale found to be reliable (Cronbach alpha = 0.955) and valid (67.87% of variance explained) instrument for assessment of the DFA presence in children. Two cut-off scores were determined in a child (37 and 43), as well as in a parental version of CFSS-DS-mod scale (36 and 44), respectively. Dentists assessed the DFA presence in child patients most accurately. Conclusion: The normative values of psychometric instruments should be considered prior to their use. The borderline area of DFA presence should also be taken into account in the future studies. Children could underestimate DFA existence by themselves while interviewing.