Adult shipworms (Bivalvia, Teredinidae) have greatly elongate bodies, and thus, the organs have a different orientation than those of other bivalves. Studies on the anatomy of the digestive system have been carried out in a number of genera and species in the Teredinidae, but are now over 50 years old and most were carried in only a few preserved specimens. These studies contain descriptions and line drawings, but high-resolution images do not exist, except for Lyrodus pedicellatus that was recently studied using modern techniques. Thus, we present high-resolution images of fresh specimens of three teredinid species, representing three genera, to show the different features of each organ of the digestive tract and intra- and inter-specific differences. Most of our observations concur with, but some differ from previous descriptions. One observation in Teredo navalis showed, for the first time, the foot covered by a membrane with corrugated aspect, which the function is not yet understood. Another observation in the same species showed that the caecum and intestine have strikingly different colourations in specimens in overcrowded conditions when compared with those in uncrowded conditions. This may indicate that the former resort more to filter feeding to avoid the complete destruction of their habitat. In Psiloteredo megotara, the digestive gland seems to cover the caecum, as it does in Nototeredo norvagica and differing from a previous line drawing for the former species. Faecal pellets were observed in N. norvagica and P. megotara, which may indicate a more complete utilization of wood in these species.

This study explored how women breast cancer survivors who underwent radical mastectomy experienced stress and adversity and managed their diagnosis and treatment. This study is based on semi-structured and in-depth interviews with a convenience sample of 22 participants. Qualitative analysis and discussion groups were conducted in the participant’s homes over 18 months. Thematic analysis resulted in four overarching categories that illustrated how being a woman was challenged and restructured from the participants’ personal experiences. The participants’ coping strategies were primarily reflected in their spirituality, optimism, the embrace of healthy lifestyles, and pink ribbon activism.

Background Environmental exposures such as smoking are widely recognized risk factors in the emergence of lung diseases including lung cancer and acute respiratory distress syndrome (ARDS). However, the strength of environmental exposures is difficult to measure, making it challenging to understand their impacts. On the other hand, some COVID-19 patients develop ARDS in an unfavorable disease progression and smoking has been suggested as a potential risk factor among others. Yet initial studies on COVID-19 cases reported contradictory results on the effects of smoking on the disease – some suggest that smoking might have a protective effect against it while other studies report an increased risk. A better understanding of how the exposure to smoking and other environmental factors affect biological processes relevant to SARS-CoV-2 infection and unfavorable disease progression is needed. Approach In this study, we utilize mutational signatures associated with environmental factors as sensors of their exposure level. Many environmental factors including smoking are mutagenic and leave characteristic patterns of mutations, called mutational signatures, in affected genomes. We postulated that analyzing mutational signatures, combined with gene expression, can shed light on the impact of the mutagenic environmental factors to the biological processes. In particular, we utilized mutational signatures from lung adenocarcinoma (LUAD) data set collected in TCGA to investigate the role of environmental factors in COVID-19 vulnerabilities. Integrating mutational signatures with gene expression in normal tissues and using a pathway level analysis, we examined how the exposure to smoking and other mutagenic environmental factors affects the infectivity of the virus and disease progression. Results By delineating changes associated with smoking in pathway-level gene expression and cell type proportions, our study demonstrates that mutational signatures can be utilized to study the impact of exogenous mutagenic factors on them. Consistent with previous findings, our analysis showed that smoking mutational signature (SBS4) is associated with activation of cytokine-mediated signaling pathways, leading to inflammatory responses. Smoking related changes in cell composition were also observed, including the correlation of SBS4 with the expansion of goblet cells. On the other hand, increased basal cells and decreased ciliated cells in proportion were associated with the strength of a different mutational signature (SBS5), which is present abundantly but not exclusively in smokers. In addition, we found that smoking increases the expression levels of genes that are up-regulated in severe COVID-19 cases. Jointly, these results suggest an unfavorable impact of smoking on the disease progression and also provide novel findings on how smoking impacts biological processes in lung.

The aim of this study was to determine the antioxidant activity, total phenolics, total flavonoid, proanthocyanidins, and anthocyanins content of eight berry species, namely serviceberry, gooseberry, blackberry, black chokeberry, bilberry, red currant, black currant, and cornelian cherry harvested in the regions of Sarajevo and Tuzla, Bosnia and Herzegovina. The antioxidant activity was determined by a battery of in vitro tests including DPPH radical assay, FRAP assay, ABTS assay, and phosphomolybdate test for total antioxidant capacity. Total phenolics, total flavonoids, and proanthocyanidins ranged from 0.834 to 6.921 mg TAE (tannic acid equivalents), 0.081–0.673 mg of quercetin, and 0.162–3.247 mg of catechin per gram of fresh fruit, respectively. The water extract of fruits had considerable levels of tested constituents and antioxidant activity, with the highest results obtained for black chokeberry. The multivariate clustering analysis showed that water extracts of analyzed species of berries belong to four distinct types in terms of their antioxidants levels and antioxidant activity. Furthermore, these results support the opinion that employment of multiple antioxidant tests is indeed required for adequate in vitro assessment of antioxidant capacity. Results also emphasized the need for a more detailed evaluation of the fruit species with good antioxidant potential (relative to standards), such as cornelian cherry and gooseberry, which are abundant yet not frequently consumed in Bosnia and Herzegovina.

Background: Patients with chronic diseases, like diabetes need to continuously perform tasks associated with self-management especially with medications they use. It is shown that the patients with diabetes with limited HL and PTHL cannot read medication labels correctly, may misuse their medications, spend much more on therapy and generally have difficulties in understanding printed care instructions and perceiving health advice and warnings. There has been an increasing demand for valid and reliable instruments for HL and PTHL assessment in this population. This review aims to search and critically discuss instruments used to assess HL and PTHL in people with type 2 diabetes and propose their use in different settings. Methods: Authors conducted a comprehensive, electronic search of original studies using a structured approach of the Scopus and PubMed databases, during November and the first 2 weeks of December 2020 to find relevant papers. The review was conducted in accordance with the Cochrane guidelines and the reporting was based on the PRISMA-ScR. The comparison of instruments was made by utilizing a comparison model related to their structure, measurement scope, range, psychometric properties, validation, strengths, and limitations. Results: The final number of included studies was 24, extracting the following identified instruments: Korean Functional Test HL, NVS, FCCHL, HLS-EU-47, TOFLHA, S-TOFHLA, REALM-R, 3-brief SQ, REALM, HLQ and DNT-15. In all, FCCHL and 3-brief SQ are shown with the broadest measurement scopes. They are quick, easy, and inexpensive for administration. FCCHL can be considered the most useful and comprehensive instrument to screen for inadequate HL. The limitation is that the English version is not validated. Three-brief SQ has many advantages in comparison to other instruments, including that it is less likely to cause anxiety and shame. These instruments can be considered the best for measuring functional HL in patients with diabetes mellitus type 2 and other chronic diseases. PTHL instruments (REALM and DNT-15) did not find the best application in this population. Conclusions: The future research should be directed in validation of the FCCHL in English and establishing of the structural validity of this questionnaire. Developing a specific PTHL questionnaire for this population will be of great help in management of their disease.

The airport environment is an extremely complex system with a large number of interdependent factors. A large number of airports have limited infrastructure capacity. One of the solutions to increase the capacity and efficiency of the airport is spatial infrastructure expansion. However, a large number of airports are close to populated areas, and further expansion is not possible. When implementing operational infrastructure solutions, it is necessary to establish a correlation between the Key Performance Indicators (KPI) and the existing limiting factors of the airport and the airspace in the vicinity of the airport. This paper will describe the basic performance indicators important for single-runway airports. Moreover, it will present the scalable and modular aviation software solution. It is used for simulation, allocation, and optimization systems for airport airside. The possibilities of using the output of the software tool and the quality of the datasets thus collected for the application of different prediction algorithms will be investigated. In this way, an attempt would be made to achieve a synergy of simulation tools and advanced algorithms. It will help decision-makers to determine the actual complexity and limitations during the planning and future investments.

The vehicle routing problem is one of the most complex problems in the field of combinatorial optimization. Creating optimal routes leads to timely delivery of orders to end customers, which increases the efficiency of the company and enables maximum earnings. The problem of vehicle routing with a series of real-world constraints is called the rich vehicle routing problem (RVRP). The paper presents an approach to solving RVRP, where the asymmetric routing problem with a heterogeneous vehicle fleet, time windows, customer-vehicle constraints and a number of others is observed. The approach solves the problem in two phases, by dividing customers into clusters using a discrete metaheuristic Bat algorithm, and by solving the routing problem for each obtained cluster. The proposed approach has been tested for 26 days of delivery from large warehouses in Bosnia and Herzegovina. Significant savings were achieved compared to previously implemented approaches. All created routes were feasible. The approach automatically creates routes, and gives results in a shorter time than previously used approaches. Time does not increase significantly with the increase in the number of customers, which is a great advantage of the proposed approach.

In this paper, we present a novel algorithm – DRGBT (Dynamic Rapidly-exploring Generalized Bur Tree), intended for motion planning in dynamic environments. The main idea behind DRGBT lies in a so-called adaptive horizon, consisting of a set of prospective target nodes that belong to a predefined $\mathcal{C}$-space path, which originates from the current node. Each node is assigned a weight that depends on relative distances and captured changes in the environment. The algorithm continuously uses a suitable horizon assessment to decide when to trigger the replanning procedure. A comprehensive simulation study is performed, covering a variety of manipulators, where DRGBT is compared to a state-of-the-art algorithm. Results indicate some promising features of the proposed method.

This paper focuses on reviewing relevant work on autonomous ground systems for concrete bridge inspection. The current inspection of bridges is still based on visual inspection by inspectors or by using semi-destructive techniques. Current inspection practices require a large amount of time for inspection. In addition, complex scaffolding or expensive equipment is required for inaccessible areas, which also poses a risk to the safety of inspectors. These drawbacks could be overcome by using robotic systems equipped with non-destructive techniques (NDT). This paper presents the ground robotic systems that have been used in the inspection of concrete bridges, mainly for the localization of reinforcement, corrosion assessment and crack detection.

BACKGROUND The Prostate Biopsy Collaborative Group risk calculator (PBCG RC) has a moderate discriminatory capability. This study aimed to create automated machine learning (AutoML) PBCG RC for predicting the probability of any-grade and high-grade prostate cancer (PCa). METHODS This retrospective, single-center study was carried out using the database with 832 patients who were subject to transrectal ultrasound-guided prostate biopsy with prostate-specific antigen (PSA) values from 2 to 50 ng/ml. Information about PBCG RC predictors was gathered for all patients. We used H2O, as an open-source platform for AutoML, where the set of 20 base learning algorithms were trained. The AutoML PBCG RC was compared in terms of discrimination, calibration, and clinical utility with the original PBCG RC. RESULTS PCa was detected in 341 (41%) men, and 159 (19.1%) of them had high-grade PCa. Our AutoML models demonstrated better discriminative ability than the original PBCG RC for detection of PCa (area under the curve [AUC]: 0.703 vs 0.628; P = 0.023) and high-grade PCa (AUC: 0.990 vs 0.717; P < 0.001). The decision curve analyses showed that AutoML models performed better. For high-grade PCa the PSA was the most important feature. CONCLUSIONS We applied ensemble techniques to create a freely available online PCa risk tool based on PBCG RC predictors and AutoML algorithms. The AutoML models drastically improved original model performance and the predictions of high-grade PCa were nearly perfect. However, new models should be used with a reserve, because external validation has not been performed yet.

An analog time of flight correlator designed in a 150 nm LFoundry CMOS process, capable of correlating photon pulses with an input clock for the use with single-photon avalanche diodes (SPADs) is presented. This correlator will allow highly sensitive and high precision indirect time of flight (iTOF) distance measurement with modulation frequencies up to 1 GHz and a distance resolution of 3 mm and 1.3 mm for a total measurement time of only $4\ \mu\mathrm{s}$ and $40\ \mu\mathrm{s}$, respectively. Additionally long integration times are possible, which guarantee operation with high background-to-signal-ratios (BSR). The small size and low power consumption of less than 1 mW allow the use of many correlators on a single chip. Two correlators and a quenching circuit are integrated on a chip with a size of $1.5 \times 1.3\ \text{mm}^{2}$. The size of a single correlator is $225 \times 143\ \mu\mathrm{m}^{2}$.

In this work a single photon avalanche diode (SPAD) based phase measurement circuit for distance measurements using continuously modulated light in a 150 nm CMOS technology is presented. An on-chip quadruple-voltage quenching circuit, allowing up to 7.2 V excess bias for external SPADs, generates pulses synchronous to the detection times of single photons. Circuit simulations show, that a precision of 0.54 mm can be achieved for distance measurements in low background light environments, in a measurement time of 200 μs. The efficiency of background light suppression can be improved by increasing the measurement time. Even a factor of 100:1 of background to measurement light should allow sub-cm precision given a sufficient measurement time. Correlation frequencies up to 1 GHz are possible. One correlator block has a size of 230×210 µm2 and the power consumption for each correlator is 391 µW.

Existing literature compares neuromarketing and traditional methods, making the questionable assumption that these are monolithic measurement alternatives all serving the same, predictive purpose. This study examines and empirically challenges this notion by relying on a neuroscientific perspective and a robust empirical study to examine the correspondence of expanded sets of diverse electroencephalogram (EEG) and survey advertising indicators. The key findings are that EEG and survey indicators measure different kinds of emotions (and attention) and that the newly developed, momentary EEG indicators are superior to the conventional, aggregated ones. The findings suggest that moment-to-moment EEG advertising indicators, such as peak emotions during branding moments, distinctively enhance advertising effectiveness evaluation and enhancement.

The National Association for the Education of Young Children recently revised its Developmentally Appropriate Practice (DAP), the standard for early childhood care and education. Josh Thompson and Zlata Stanković-Ramirez explore how DAP has evolved over time and what guidance it provides early childhood educators regarding the interaction between typical waves of child development, children’s individual characteristics, and social and cultural context.