bluuebunny/crossref_metadata_2025 huggingface dataset:
The Development, Testing, and Refinement of Eccles, Wigfield, and Colleagues’ Situated Expectancy-Value Model of Achievement Performance and Choice
Authors: Eccles Jacquelynne S. , Wigfield Allan
Published: May 2024

To address the seven guiding questions posed for authors of articles in this special issue, we begin by discussing the development (in the late 1970s-early 1980s) of Eccles’ expectancy-value theory of achievement choice (EEVT), a theory developed to explain the cultural phenomenon of why girls were less likely to participate in STEM courses and careers. We then discuss how we tested key predictions from the theory, notably how expectancies and values relate to achievement choices and performance and how socialization practices at home and in school influence them. Next, we discuss three main refinements: addressing developmental aspects of the theory, refining construct definitions, and renaming the theory situated expectancy value theory. We discuss reasons for that change, and their implications. To illustrate the theory’s practicality, we discuss intervention projects based in the model, and what next steps should be in SEVT-based intervention research. We close with suggestions for future research, emphasizing attaining consensus on how to measure the central constructs, expanding the model to capture better motivation of diverse groups, and the challenges of testing the increasingly complex predictions stemming from the model. Throughout the manuscript, we make suggestions for early career researchers to provide guidance for their own development of theories.
Toward granular search-based automatic unit test case generation
Authors: Pecorelli Fabiano , Grano Giovanni , Palomba Fabio , Gall Harald C. , De Lucia Andrea
Published: May 2024

Unit testing verifies the presence of faults in individual software components. Previous research has been targeting the automatic generation of unit tests through the adoption of random or search-based algorithms. Despite their effectiveness, these approaches aim at creating tests by solely optimizing metrics like code coverage, without ensuring that the resulting tests have granularities that would allow them to verify both the behavior of individual production methods and the interaction between methods of the class under test. To address this limitation, we propose a two-step systematic approach to the generation of unit tests: we first force search-based algorithms to create tests that cover individual methods of the production code, hence implementing the so-called intra-method tests; then, we relax the constraints to enable the creation of intra-class tests that target the interactions among production code methods. The assessment of our approach is conducted through a mixed-method research design that combines statistical analyses with a user study. The key results report that our approach is able to keep the same level of code and mutation coverage while providing test suites that are more structured, more understandable and aligned to the design principles of unit testing.
Two is better than one: digital siblings to improve autonomous driving testing
Authors: Biagiola Matteo , Stocco Andrea , Riccio Vincenzo , Tonella Paolo
Published: May 2024

Simulation-based testing represents an important step to ensure the reliability of autonomous driving software. In practice, when companies rely on third-party general-purpose simulators, either for in-house or outsourced testing, the generalizability of testing results to real autonomous vehicles is at stake. In this paper, we enhance simulation-based testing by introducing the notion ofdigital siblings—a multi-simulator approach that tests a given autonomous vehicle on multiple general-purpose simulators built with different technologies, that operate collectively as an ensemble in the testing process. We exemplify our approach on a case study focused on testing the lane-keeping component of an autonomous vehicle. We use two open-source simulators as digital siblings, and we empirically compare such a multi-simulator approach against a digital twin of a physical scaled autonomous vehicle on a large set of test cases. Our approach requires generating and running test cases for each individual simulator, in the form of sequences of road points. Then, test cases are migrated between simulators, using feature maps to characterize the exercised driving conditions. Finally, the joint predicted failure probability is computed, and a failure is reported only in cases of agreement among the siblings. Our empirical evaluation shows that the ensemble failure predictor by the digital siblings is superior to each individual simulator at predicting the failures of the digital twin. We discuss the findings of our case study and detail how our approach can help researchers interested in automated testing of autonomous driving software.
Floating quantifiers, specificity and focus in Lalo Yi
Authors: Hu Yaqing , Simpson Andrew
Published: May 2024

Lalo Yi presents a distribution of numeral-classifier pairs that appears to be the complete inverse of the norm found in other numeral-classifier languages. With many numerically-quantified, discourse-new referents, Lalo Yi permits only the use of a floated pattern, and it is not possible to combine numerals and classifiers with NPs as in other numeral-classifier languages. This patterning presents a clear challenge to the oft-adopted assumption that floating quantifiers are derived from non-floated forms by applications of movement (stranding), and potentially favors a base-generation/adverbial approach. A broader consideration of Lalo Yi, however, leads to the proposal that the occurrence of the floating pattern results from a combination of two occurrences of movement—DP movement to a low focus position/FocP, followed by NP-raising to a higher case position. Obligatory stranding of the DP remnant containing numeral-classifier pairs is suggested to result from the FocP being a (low) criterial position in the sense of Rizzi (in: Cheng and Corver (eds) Wh-movement: moving on, MIT Press, Cambridge, pp 97–134, 2006), requiring freezing-realization of the DP in SpecFocP but permitting sub-extraction of NP to satisfy case requirements licensed by a higher functional head. Quite generally, it is suggested that the paradigm in Lalo Yi demonstrates the grammaticalization of an optional tendency found elsewhere in numeral-classifier languages to use special forms for the specific and non-specific indefinite interpretations of numerically-quantified nominals. Additionally, the paper contributes to the growing description and typology of low focus phenomena across languages and observations of variation in the ways that focus may be realized in different languages.
Evolution of a laboratory mechanomyograph
Authors: Wedemeyer Zain , Bowdle Andrew , Jelacic Srdjan , Lopez Aidan , Silliman Willis , Michaelsen Kelly E.
Published: May 2024

Mechanomyography is currently the accepted laboratory reference standard for quantitative neuromuscular blockade monitoring. Mechanomyographs are not commercially available. Previously, a mechanomyograph was built by our laboratory and used in several clinical studies. It was subsequently redesigned to improve its usability and functionality and to accommodate a wider range of hand sizes and shapes using an iterative design process. Each version of the redesigned device was initially tested for usability and functionality in the lab with the investigators as subjects without electrical stimulation. The redesigned devices were then assessed on patients undergoing elective surgery under general anesthesia without neuromuscular blocking drugs. Since the patients were not paralyzed, the expected train-of-four ratio was 1.0. The device accuracy and precision were represented by the train-of-four ratio mean and standard deviation. If issues with the device’s useability or functionality were discovered, changes were made, and the redesign processes repeated. The final mechanomyograph design was used to collect 2,362 train-of-four ratios from 21 patients. The mean and standard deviation of the train-of-four ratios were 0.99 ± 0.030. Additionally, the final mechanomyograph design was easier to use and adjust than the original design and fit a wider range of hand sizes. The final design also reduced the frequency of adjustments and the time needed for adjustments, facilitating data collection during a surgical procedure.
Untargeted Metabolomics Reveals Fruit Secondary Metabolites Alter Bat Nutrient Absorption
Authors: Gelambi Mariana , Whitehead Susan R.
Published: May 2024

The ecological interaction between fleshy fruits and frugivores is influenced by diverse mixtures of secondary metabolites that naturally occur in the fruit pulp. Although some fruit secondary metabolites have a primary role in defending the pulp against antagonistic frugivores, these metabolites also potentially affect mutualistic interactions. The physiological impact of these secondary metabolites on mutualistic frugivores remains largely unexplored. Using a mutualistic fruit bat (Carollia perspicillata), we showed that ingesting four secondary metabolites commonly found in plant tissues affects bat foraging behavior and induces changes in the fecal metabolome. Our behavioral trials showed that the metabolites tested typically deter bats. Our metabolomic surveys suggest that secondary metabolites alter, either by increasing or decreasing, the absorption of essential macronutrients. These behavioral and physiological effects vary based on the specific identity and concentration of the metabolite tested. Our results also suggest that a portion of the secondary metabolites consumed is excreted by the bat intact or slightly modified. By identifying key shifts in the fecal metabolome of a mutualistic frugivore caused by secondary metabolite consumption, this study improves our understanding of the effects of fruit chemistry on frugivore physiology.
Enhancing Foreign Language Learning Approaches to Promote Healthy Aging: A Systematic Review
Authors: Klimova Blanka , de Paula Nascimento e Silva Cecília
Published: May 2024

The main purpose of this study is to investigate the best approaches to teaching a foreign language to older people to help them achieve the desired results and explore their benefits. This review strictly follows the PRISMA methodology for systematic reviews and meta-analyses to identify the core experimental studies that deal with the topic of foreign language learning approaches among the older generations. Altogether eight studies detected were included in the systematic review. The available sources were found in Web of Science and Scopus. The findings indicate that foreign language learning can promote seniors’ welfare and successful aging despite their learning outcomes, which means that the key benefit for third-age foreign language learners while learning a foreign language is not the achieved proficiency level, but the feeling of subjective satisfaction. This can be a good incentive to achieve better learning outcomes, provided that learners have been offered a pleasant and safe learning environment, using suitable learning approaches during which they can build on their acquired knowledge and experience, as well as discuss the topics they are interested in. Thus, foreign language teachers play an important part in seniors’ educational process because their teaching methods and materials when adapted to the elderly’s educational needs can have a positive impact on the maintenance and possibly, enhancement of the older people's cognitive functions and on the improvement of their mental activity, which consequently maintains their healthy aging.
Prolactin is an Endogenous Antioxidant Factor in Astrocytes That Limits Oxidative Stress-Induced Astrocytic Cell Death via the STAT3/NRF2 Signaling Pathway
Authors: Ulloa Miriam , Macías Fernando , Clapp Carmen , Martínez de la Escalera Gonzalo , Arnold Edith
Published: May 2024

Oxidative stress-induced death of neurons and astrocytes contributes to the pathogenesis of numerous neurodegenerative diseases. While significant progress has been made in identifying neuroprotective molecules against neuronal oxidative damage, little is known about their counterparts for astrocytes. Prolactin (PRL), a hormone known to stimulate astroglial proliferation, viability, and cytokine expression, exhibits antioxidant effects in neurons. However, its role in protecting astrocytes from oxidative stress remains unexplored. Here, we investigated the effect of PRL against hydrogen peroxide (H2O2)-induced oxidative insult in primary cortical astrocyte cultures. Incubation of astrocytes with PRL led to increased enzymatic activity of superoxide dismutase (SOD) and glutathione peroxidase (GPX), resulting in higher total antioxidant capacity. Concomitantly, PRL prevented H2O2-induced cell death, reactive oxygen species accumulation, and protein and lipid oxidation. The protective effect of PRL upon H2O2-induced cell death can be explained by the activation of both signal transducer and activator of transcription 3 (STAT3) and NFE2 like bZIP transcription factor 2 (NRF2) transduction cascades. We demonstrated that PRL induced nuclear translocation and transcriptional upregulation of Nrf2, concurrently with the transcriptional upregulation of the NRF2-dependent genes heme oxygenase 1, Sod1, Sod2, and Gpx1. Pharmacological blockade of STAT3 suppressed PRL-induced transcriptional upregulation of Nrf2, Sod1 and Gpx1 mRNA, and SOD and GPX activities. Furthermore, genetic ablation of the PRL receptor increased astroglial susceptibility to H2O2-induced cell death and superoxide accumulation, while diminishing their intrinsic antioxidant capacity. Overall, these findings unveil PRL as a potent antioxidant hormone that protects astrocytes from oxidative insult, which may contribute to brain neuroprotection.
A novel method for response probability density of nonlinear stochastic dynamic systems
Authors: Wang Xi , Jiang Jun , Hong Ling , Sun Jian-Qiao
Published: May 2024

This paper presents a novel method for analyzing high-dimensional nonlinear stochastic dynamic systems. In particular, we attempt to obtain the solution of the Fokker–Planck–Kolmogorov (FPK) equation governing the response probability density of the system without using the FPK equation directly. The method consists of several important components including the radial basis function neural networks (RBFNN), Feynman–Kac formula and the short-time Gaussian property of the response process. In the area of solving partial differential equations (PDEs) using neural networks, known as physics-informed neural network (PINN), the proposed method presents an effective alternative for obtaining solutions of PDEs without directly dealing with the equation, thus avoids evaluating the derivatives of the equation. This approach has a potential to make the neural network-based solution more efficient and accurate. Several highly challenging examples of nonlinear stochastic systems are presented in the paper to illustrate the effectiveness of the proposed method in comparison to the equation-based RBFNN approach.
Effect of Transient Spark Discharge and Plasma Activated Water Treatments against Fusarium graminearum Infected Wheat Grains under Laboratory Conditions
Authors: Doshi Pratik , Scholtz Vladimír , Oplíštilová Alexandra , Khun Josef , Klenivskyi Myron , Julák Jaroslav , Šerý Michal , Šerá Božena
Published: May 2024

Over the last decade, more and more attention has been paid to applications of non-thermal plasma in agriculture, where it is used to decontaminate various microorganisms and to improve the seed germination. In this study, we present the results of a newly developed point-to-ring NTP transient spark discharge apparatus (NTP), plasma activated water (PAW) and their combined treatment on Durum wheat and Common wheat grains under laboratory conditions. Transient spark discharge treatment was used as direct treatment while indirect treatment of wheat grains was performed by PAW produced in point-to-plane NTP transient spark apparatus. We found that the degree of grain surface decontamination was in order NTP > PAW > combined treatment. In the case of Durum wheat grain germination, all treatments increased germination with increasing exposure times, while in the case of Common wheat, PAW treatment and combined treatment did not significantly increase the grain germination. In conclusion, plasma treatment has enormous potential for use in agriculture and its possibilities need to be fully explored.
Space and perceptual boundaries
Authors: Skrzypulec Błażej
Published: May 2024

In consideration of the spatial structures of sensory experiences, an ‘Externality Thesis’ is commonly proposed, according to which awareness of sensory boundaries is also an awareness of the presence of a space beyond these boundaries. The paper evaluates the Externality Thesis in the context of vision and touch. More specifically, relying on mereotopological theories, it is shown that the notion of spatial boundaries is ambiguous as it encompasses various distinct ways in which entities may be connected by a boundary. It is argued that only some of these ways are able to support the Externality Thesis. In particular, it is claimed that while bodily boundaries of which one is aware in tactile sensations are such that the awareness of them provides support for the Externality Thesis, the analogous claim is not true about the boundaries of the visual field.
Parenting for Lifelong Health for Young Children in Montenegro: Preliminary Outcomes, Dissemination, and Broader Embedding of the Program
Authors: Hutchings Judy , Ferdinandi Ida , Janowski Roselinde , Ward Catherine L. , McCoy Amalee , Lachman Jamie , Gardner Frances , Williams Margiad Elen
Published: May 2024

The quality of parenting program implementation significantly affects the extent to which a program is delivered effectively as well as the likelihood of it becoming embedded in everyday services. The group based Parenting for Lifelong Health for Young Children (PLH-YC) program for parents of children aged 2–9 years was developed specifically for implementation in low- and middle-income contexts, has been tested in five randomized trials, and incorporates a number of strategies to encourage fidelity of delivery. This paper reports on the introduction of PLH-YC to Montenegro, including initial work to engage government agencies and service providers, adapt the program and, following initial evidence of effectiveness, implement strategies to promote effective delivery and embed the program. Following program adaptation and initial facilitator training, eight groups were run, supported with resources and supervision and independently evaluated. The successful pilot led to program training accreditation by national professional agencies and a series of steps to successfully further embed it into routine settings in Montenegro, including by recognizing the program in national policy documents. This led to further facilitator trainings, now numbering 97 facilitators and the certification of ten coaches and two trainers. By the end of 2023, 1278 parents, across 13 municipalities (half of all municipalities in Montenegro) and a range of service providers, have received the program. The paper describes the project phases and key fidelity components that underpinned the successful introduction and embedding of the program in Montenegro. The plan has resulted in Montenegro having its own domestic resources to continue to implement the program effectively and further plan for widespread dissemination.
Does Gender Composition in a Field of Study Matter? Gender Disparities in College Students’ Academic Self-Concepts
Authors: Fiedler Isabelle , Buchholz Sandra , Schaeper Hildegard
Published: May 2024

Gendered field-of-study choice is a lively topic of discussion. The explanation usually given for the fact that women are still an exception in typically ‘male’ fields—particularly STEM (Science, Technology, Engineering and Mathematics)—employs domain-specific stereotypes regarding men’s and women’s ‘natural’ abilities in different fields. The central argument of our study is that domain-specific gender stereotypes help explain why few women enter such fields; however, they are not necessarily the driving forces behind the finding that female students who chose typically male subjects have weaker academic self-concepts than their male peers. If it were only domain-specific gender stereotypes that influence students’ perceptions of their abilities, we should find the opposite result in typically female fields of study and no differences in gender-mixed fields. Because existing studies often focus on the male-dominated STEM domain alone, research may have drawn the wrong conclusions. By comparing students in male-dominated, female-dominated, and gender-mixed fields of study, we ask: Does gender composition in the field of study matter for gender disparities in college (university) students’ academic self-concepts? Using data from 10,425 students in the German National Educational Panel Study, our results suggest that it is not only in male-dominated fields of study that women rate their own abilities to be poorer than men rate theirs; the same is true in female-dominated and gender-mixed fields. Therefore, domain-specific gender stereotypes regarding students’ abilities do not (alone) seem to drive gender disparities in STEM students’ perception of their own abilities. No matter what academic field we consider, female students generally exhibit weaker academic self-concepts; however, the gap is most pronounced in male-dominated fields.
Novel estimation of African swine fever transmission parameters within smallholder villages in Lao P.D.R
Authors: Matsumoto Nina , Ward Michael P. , Halasa Tariq , Schemann Kathrin , Khounsy Syseng , Douangngeun Bounlom , Thepagna Watthana , Phommachanh Phouvong , Siengsanan-Lamont Jarunee , Young James R. , Toribio Jenny-Ann L. M. L. , Bush Russell D. , Blacksell Stuart D.
Published: May 2024

African Swine Fever (ASF) disease transmission parameters are crucial for making response and control decisions when faced with an outbreak, yet they are poorly quantified for smallholder and village contexts within Southeast Asia. Whilst disease-specific factors − such as latent and infectious periods − should remain reasonably consistent, host, environmental and management factors are likely to affect the rate of disease spread. These differences are investigated using Approximate Bayesian Computation with Sequential Monte-Carlo methods to provide disease parameter estimates in four naïve pig populations in villages of Lao People’s Democratic Republic. The villages represent smallholder pig farmers of the Northern province of Oudomxay and the Southern province of Savannakhet, and the model utilised field mortality data to validate the transmission parameter estimates over the course of multiple model generations. The basic reproductive number between-pigs was estimated to range from 3.08 to 7.80, whilst the latent and infectious periods were consistent with those published in the literature for similar genotypes in the region (4.72 to 6.19 days and 2.63 to 5.50 days, respectively). These findings demonstrate that smallholder village pigs interact similarly to commercial pigs, however the spread of disease may occur slightly slower than in commercial study groups. Furthermore, the findings demonstrated that despite diversity across the study groups, the disease behaved in a consistent manner. This data can be used in disease control programs or for future modelling of ASF in smallholder contexts.
Synthetic Data for Video Surveillance Applications of Computer Vision: A Review
Authors: Delussu Rita , Putzu Lorenzo , Fumera Giorgio
Published: May 2024

In recent years, there has been a growing interest in synthetic data for several computer vision applications, such as automotive, detection and tracking, surveillance, medical image analysis and robotics. Early use of synthetic data was aimed at performing controlled experiments under the analysis by synthesis approach. Currently, synthetic data are mainly used for training computer vision models, especially deep learning ones, to address well-known issues of real data, such as manual annotation effort, data imbalance and bias, and privacy-related restrictions. In this work, we survey the use of synthetic training data focusing on applications related to video surveillance, whose relevance has rapidly increased in the past few years due to their connection to security: crowd counting, object and pedestrian detection and tracking, behaviour analysis, person re-identification and face recognition. Synthetic training data are even more interesting in this kind of application, to address further, specific issues arising, e.g., from typically unconstrained image or video acquisition conditions and cross-scene application scenarios. We categorise and discuss the existing methods for creating synthetic data, analyse the synthetic data sets proposed in the literature for each of the considered applications, and provide an overview of their effectiveness as training data. We finally discuss whether and to what extent the existing synthetic data sets mitigate the issues of real data, highlight existing open issues, and suggest future research directions in this field.
The clinical characteristic of catathrenia: a new look at an old issue—a systematic review of existing literature
Authors: Blaszczyk Bartlomiej , Wichniak Adam , Wieckiewicz Mieszko , Brzecka Anna , Nowacki Dorian , Michalek-Zrabkowska Monika , Lachowicz Gabriella , Mazur Grzegorz , Martynowicz Helena
Published: May 2024

Study objectives

The International Classification of Sleep Disorders categorized catathrenia as a respiratory disorder, but there are doubts whether episodes appear during rapid eye movement (REM) sleep or the non-rapid eye movement (NREM), their duration, and symptoms. The main objectives were to identify the most common features and relations of catathrenia.

Methods

PubMed, Embase, and Web of Science were searched according to the PRISMA 2020 guidelines. The Joanna Briggs Institute and the ROBINS-I tools were chosen to assess the risk of bias.

Results

A total of 288 records were identified, 31 articles were included. The majority of the studies had a moderate risk of bias. 49.57% of episodes occurred during the NREM sleep, while 46% took place during REM. In 60.34% females, catathrenia was more common in the NREM, while in 59.26% of males was in REM sleep (p < 0.05). Females and obese individuals were found to have shorter episodes (p < 0.05). Age was inversely correlated with minimal episodes duration (r =  − 0.34). The continuous positive airway pressure (CPAP) therapy was inversely correlated with the maximal episode duration (r =  − 0.48).

Conclusions

Catathrenia occurs with similar frequency in both genders. The most frequent symptoms embraced groaning, awareness of disturbing bedpartners, and daytime somnolence—not confirmed by the Epworth Sleepiness Scale. The episodes occur more frequently in NREM than in REM sleep. Catathrenia may be considered as a sex-specific condition. The effects of CPAP treatment leading to shortening episodes duration, which may indicate the respiratory origin of catathrenia.
Intermittent sequential pneumatic compression reduces post-exercise hemodilution and enhances perceptual recovery without improving subsequent cycling performance
Authors: Ferrer-Ramos Pau , Artés Arnau , Javierre Casimiro , Viscor Ginés , García Iker
Published: May 2024

Purpose

The present study aims to evaluate the effects of intermittent sequential pneumatic compression (ISPC) in the short-term recovery of a repeated sprint interval exercise, including the assessment of power output performance, hematocrit, legs water, and perceptual recovery.

Methods

A randomized, counterbalanced, crossover design was conducted. Sixteen healthy trained individuals (F=7, M=9; 27.7 ± 9.4 years; BMI 22.3 ± 2.9) performed two trials of a cycling fatiguing exercise, followed by a recovery phase (ISPC or Sham), and a subsequent performance assessment exercise to evaluate the effects of ISPC in post-exercise recovery.

Results

There were no significant differences in cycling performance comparing both recovery modes. However, the decrease in the hematocrit levels after the recovery phase was less exacerbated in the ISPC condition compared to Sham (44.03 ± 1.33 vs. 42.38 ± 1.33 %; p = 0.047; d = 0.310). Likewise, the total quality recovery (TQR) was higher after the recovery in the ISPC condition (15.94 ± 0.16 vs. 14.75 ± 0.12 points; p = 0.045; d = 2.125), although no differences were shown previously in power output performance (371.8 ± 22.2 [46.5] vs. 372.4 ± 21.8 [47.2] W; p = 0.986) and rating of perceived exertion (RPE) (17.69 ± 0.41 vs. 17.56 ± 0.31; p = 0.700).

Conclusions

Contrary to our hypothesis, the application of intermittent sequential pneumatic compression after high-intensity exercise reduces the post-exercise hemodilution response and increases perceptual recovery. However, power output was similar between conditions, challenging the effectiveness of this recovery method in a short-term intervention.
Influence of support materials on the electroactive behavior, structure and gene expression of wild type and GSU1771-deficient mutant of Geobacter sulfurreducens biofilms
Authors: Rodríguez-Torres Luis Miguel , Huerta-Miranda Guillermo Antonio , Martínez-García Ana Luisa , Mazón-Montijo Dalia Alejandra , Hernández-Eligio Alberto , Miranda-Hernández Margarita , Juárez Katy
Published: May 2024

Geobacter sulfurreducens DL1 is a metal-reducing dissimilatory bacterium frequently used to produce electricity in bioelectrochemical systems (BES). The biofilm formed on electrodes is one of the most important factors for efficient electron transfer; this is possible due to the production of type IV pili and c-type cytochromes that allow it to carry out extracellular electron transfer (EET) to final acceptors. In this study, we analyzed the biofilm formed on different support materials (glass, hematite (Fe2O3) on glass, fluorine-doped tin oxide (FTO) semiconductor glass, Fe2O3 on FTO, graphite, and stainless steel) by G. sulfurreducens DL1 (WT) and GSU1771-deficient strain mutant (Δgsu1771). GSU1771 is a transcriptional regulator that controls the expression of several genes involved in electron transfer. Different approaches and experimental tests were carried out with the biofilms grown on the different support materials including structure analysis by confocal laser scanning microscopy (CLSM), characterization of electrochemical activity, and quantification of relative gene expression by RT-qPCR. The gene expression of selected genes involved in EET was analyzed, observing an overexpression of pgcA, omcS, omcM, and omcF from Δgsu1771 biofilms compared to those from WT, also the overexpression of the epsH gene, which is involved in exopolysaccharide synthesis. Although we observed that for the Δgsu1771 mutant strain, the associated redox processes are similar to the WT strain, and more current is produced, we think that this could be associated with a higher relative expression of certain genes involved in EET and in the production of exopolysaccharides despite the chemical environment where the biofilm develops. This study supports that G. sulfurreducens is capable of adapting to the electrochemical environment where it grows.
Spanish Version of the Netherlands Empowerment List: Adaptation, Psychometric Validation, and Gender Differential Item Functioning Analysis
Authors: Sampietro Hernán María , Guilera Georgina , Berrío Ángela I , Barrios Maite , Rojo J Emilio , Boevink Wilma , Kroon Hans , Gómez-Benito Juana
Published: May 2024

There is a lack of valid instruments to measure empowerment in Spanish-speaking populations. This study aimed to adapt the Netherlands Empowerment List (NEL), a 40-item scale, into Spanish and to test its psychometric properties examining its dimensional structure, internal consistency, temporal stability, relationships with other variables, and differential item functioning by gender. Participants were 406 users of mental health community rehabilitation services (52.5% male), with a mean age of 47.8 years. Results confirmed a six first-order factor structure of the scale. Internal consistency was excellent for the total score and ranged from excellent to adequate for subscale scores. Temporal stability was excellent for four subscales and good for the remaining two. The analysis of relationships between the Spanish NEL with other variables (i.e., empowerment, recovery, hope, perceived social support) provided additional evidence of its validity. Although four items showed uniform differential item functioning by gender, the effect size was negligible. The Spanish NEL yields valid and reliable scores, and it may be used to assess empowerment in Spanish-speaking countries.
Morphological Stability for in silico Models of Avascular Tumors
Authors: Blom Erik , Engblom Stefan
Published: May 2024

The landscape of computational modeling in cancer systems biology is diverse, offering a spectrum of models and frameworks, each with its own trade-offs and advantages. Ideally, models are meant to be useful in refining hypotheses, to sharpen experimental procedures and, in the longer run, even for applications in personalized medicine. One of the greatest challenges is to balance model realism and detail with experimental data to eventually produce useful data-driven models. We contribute to this quest by developing a transparent, highly parsimonious, first principle in silico model of a growing avascular tumor. We initially formulate the physiological considerations and the specific model within a stochastic cell-based framework. We next formulate a corresponding mean-field model using partial differential equations which is amenable to mathematical analysis. Despite a few notable differences between the two models, we are in this way able to successfully detail the impact of all parameters in the stability of the growth process and on the eventual tumor fate of the stochastic model. This facilitates the deduction of Bayesian priors for a given situation, but also provides important insights into the underlying mechanism of tumor growth and progression. Although the resulting model framework is relatively simple and transparent, it can still reproduce the full range of known emergent behavior. We identify a novel model instability arising from nutrient starvation and we also discuss additional insight concerning possible model additions and the effects of those. Thanks to the framework’s flexibility, such additions can be readily included whenever the relevant data become available.
Surgical-DeSAM: decoupling SAM for instrument segmentation in robotic surgery
Authors: Sheng Yuyang , Bano Sophia , Clarkson Matthew J. , Islam Mobarakol
Published: May 2024

Purpose

The recent segment anything model (SAM) has demonstrated impressive performance with point, text or bounding box prompts, in various applications. However, in safety-critical surgical tasks, prompting is not possible due to (1) the lack of per-frame prompts for supervised learning, (2) it is unrealistic to prompt frame-by-frame in a real-time tracking application, and (3) it is expensive to annotate prompts for offline applications.

Methods

We develop Surgical-DeSAM to generate automatic bounding box prompts for decoupling SAM to obtain instrument segmentation in real-time robotic surgery. We utilise a commonly used detection architecture, DETR, and fine-tuned it to obtain bounding box prompt for the instruments. We then empolyed decoupling SAM (DeSAM) by replacing the image encoder with DETR encoder and fine-tune prompt encoder and mask decoder to obtain instance segmentation for the surgical instruments. To improve detection performance, we adopted the Swin-transformer to better feature representation.

Results

The proposed method has been validated on two publicly available datasets from the MICCAI surgical instruments segmentation challenge EndoVis 2017 and 2018. The performance of our method is also compared with SOTA instrument segmentation methods and demonstrated significant improvements with dice metrics of 89.62 and 90.70 for the EndoVis 2017 and 2018

Conclusion

Our extensive experiments and validations demonstrate that Surgical-DeSAM enables real-time instrument segmentation without any additional prompting and outperforms other SOTA segmentation methods
A lightweight sensor ontology for supporting sensor selection, deployment, and data processing in forming processes
Authors: Vogel-Heuser Birgit , Vicaria Alejandra , Ji Fan , Höfgen Josua , Jäckisch Manuel , Lechner Michael , Merklein Marion
Published: May 2024

In the era of smart manufacturing, modern manufacturing systems face high demands for enhancing process performance and reducing machine downtime. Sensors and process data are essential for successfully implementing data-driven approaches to guarantee robust and reliable process monitoring, tool conditioning, or quality assurance. However, the accuracy and performance of such approaches are highly dependent on the quality of the gathered sensor data and influenced by the implemented data acquisition and processing methods. For this purpose, this work proposes a lightweight sensor ontology to provide a comprehensive overview to characterize underlying relationships between the physical environment and the quality of the data sets. The extended sensor ontology, in combination with domain knowledge, aims to support engineers in fully exploiting the potential of sensor data to obtain trustworthy data sets in forming technologies. As a result, this approach can improve the implementation of automated and data-driven process monitoring of forming systems and tools.
Heritage in and of the Housing Crisis: the Case of the Aylesbury Estate
Authors: Postgate Pippa
Published: May 2024

The UK’s housing crisis is at breaking point, caused primarily by deregulation, the diminished provision of public housing and the marketing of housing as property assets rather than homes. Yet the role of the heritage industry within these processes has been insufficiently analysed. This paper outlines multiple intersections between heritage and the housing crisis by examining the regeneration of one of London’s post-World War II public housing estates, the Aylesbury. It will illustrate how heritage methods and discourse have been instrumentalised by property developers and estate residents and discuss the implications this has for the heritage sector.
Early Handling Exerts Anxiolytic Effects and Alters Brain Mitochondrial Dynamics in Adult High Anxiety Mice
Authors: Thomou Christina , Nussbaumer Markus , Grammenou Eleni , Komini Chrysoula , Vlaikou Angeliki-Maria , Papageorgiou Maria P. , Filiou Michaela D.
Published: May 2024

Early handling (EH), the brief separation of pups from their mother during early life, has been shown to exert beneficial effects. However, the impact of EH in a high anxiety background as well as the role of brain mitochondria in shaping EH-driven responses remain elusive.

Here, we used a high (HAB) vs. normal (NAB) anxiety-related behavior mouse model to study how EH affects pup and dam behavior in divergent anxiety backgrounds. We also investigated EH-induced effects at the protein and mRNA levels in adult male HAB mice in the hypothalamus, the prefrontal cortex, and the hippocampus by examining the same mitochondrial/energy pathways and mitochondrial dynamics mechanisms (fission, fusion, biogenesis, and mitophagy) in all three brain regions.

EH exerts anxiolytic effects in adult HAB but not NAB male mice and does not affect HAB or NAB maternal behavior, although basal HAB vs. NAB maternal behaviors differ. In adult HAB male mice, EH does not impact oxidative phosphorylation (OXPHOS) and oxidative stress in any of the brain regions studied but leads to increased protein expression of glycolysis enzymes and a correlation of anxiety-related behavior with Krebs cycle enzymes in HAB mice in the hypothalamus. Intriguingly, EH alters mitochondrial dynamics by increasing hypothalamic DRP1, OPA1, and PGC1a protein levels. At the mRNA level, we observe altered, EH-driven mitochondrial dynamics mRNA signatures which predominantly affect the prefrontal cortex.

Taken together, our results show that EH exerts anxiolytic effects in adulthood in high anxiety and modulates mitochondrial dynamics pathways in a brain region-specific manner.
The effects of fear of COVID-19 among Spanish healthcare professionals in three years after the pandemic onset via validation of the FCV-19S: a prospective study
Authors: Peñacoba-Puente Cecilia , Luque-Reca Octavio , Griffiths Mark D. , García-Hedrera Fernando J. , Carmona-Monge F. Javier , Gil-Almagro Fernanda
Published: May 2024

Despite being validated in different populations to assess fear of COVID-19, the Fear of COVID-19 Scale (FCV-19S) has scatter validations in healthcare professionals, often with several limitations, especially in Spanish-speaking professionals. Our research aims to extend previous studies by: (i) using a large sample of Spanish nurses and physicians; (ii) incorporating longitudinal data; and (iii) using a covariance-based SEM methodology to test different factor structures. 686 Spanish healthcare professionals (M = 42.7 years; 80.5% women; 76.7% nurses) participated in 2021 (Time 1), of whom, 216 were reassessed one year later (Time 2). The results (S-Bχ2 = 69.134, df = 13, p < 0.001, CFI = 0.974, and SRMR ≤ 0.031) supported a two-factor structure with a factor of somatic reactions and another of emotional expressions of fear of COVID-19. The FCV-19S evidenced strong factorial measurement invariance regarding gender, professional category, age and professional experience and also showed significantly higher levels of fear of COVID-19 in women, nurses, and professionals under 40 years old. The internal consistency was high for the somatic factor (ω = 0.86; α = 0.85), the emotional factor (ω = 0.82; α = 0.82) and the overall scale (α = 0.89). The scale showed good convergent, divergent, and incremental validity with respect to psychological symptomatology, perceived health, burnout, and worry about contagion. Finally, the FCV-19S showed criterion validity regarding generalized anxiety disorder, burnout, and the risk of leaving the profession. The FCV-19S evidenced excellent psychometric properties in Spanish healthcare professionals and was predictive of different health outcomes one year after administration. Study implications and limitations are also discussed.
Understanding fertility policy through a process-oriented approach: the case of Japan’s decline in births
Authors: Takao Yasuo
Published: May 2024

This article examines Japan’s policymaking capacities necessary to address the issue of low fertility, while harnessing the process-oriented theories of policy studies. The author asks why Japan’s policy to increase fertility has not worked as well as some other countries whose efforts have proven more successful. The focus of this study is on process-oriented capacities, which can be defined as an ability of actors involved to avoid conflicts and cooperate on solutions at each stage of the policy cycle. To explore these capacities, or the preconditions for enabling policy options available for the actors, the policy process is investigated using process tracing observations for causal inferences drawing on governmental data, insights from policymakers, comprehensive literature reviews, and pertinent news reports. The author contends that the involvement of broker-entrepreneurs, who recognize opportunities and navigate obstacles, plays a pivotal role in preventing conflicts among stakeholders. Nevertheless, empirical data indicates that merely sidestepping conflicts does not necessarily enable policy effectiveness.
Recovery of carotenoids as bioactive compounds from peach pomace by an eco-friendly ultrasound-assisted enzymatic extraction
Authors: Han Kübra Nur , Meral Hilal , Demirdöven Aslıhan
Published: May 2024

The industrial processing of fruits generates by-products. These by-products serve as a source of valuable bioactive compounds. In this study, carotenoid was extracted from peach pomace (PP) by using the ultrasound-assisted enzymatic extraction (UAEE), an eco-friendly method. The process conditions ensuring the highest carotenoid content and b* color value for UAEE were detected by response surface methodology (RSM). To demonstrate the effectiveness of the ultrasonic process, enzymatic extraction was carried out at the optimum point. Physicochemical (pH, titratable acidity, total soluble solids), color (L*, a*, b*, chroma value (ΔC) and color difference (ΔE), total phenolic compound (TPC) and antioxidant activity analyses (ABTS and FRAP) were carried. When the analysis results evaluated, the highest b* color parameter, TPC (761.10 mg gallic acid/L), ABTS (1933.33 mg Trolox/L) and FRAP (52.66 µmol Trolox/L) results of the extracts was observed with UAEE method. The study shows that ultrasound based upon the cavitation event was increased efficiency of enzymatic reaction with higher extraction yield and this provided in higher amounts of carotenoid and bioactive compounds. In other respects, when obtained carotenoid extracts are used in food formulations compatible with their acidic structure, they will contribute to protection of the product and minimizing color losses.
Nanocomposite alginate hydrogel loaded with propranolol hydrochloride kolliphor® based cerosomes as a repurposed platform for Methicillin-Resistant Staphylococcus aureus-(MRSA)-induced skin infection; in-vitro, ex-vivo, in-silico, and in-vivo evaluation
Authors: Eltabeeb Moaz A. , Hamed Raghda Rabe , El-Nabarawi Mohamed A. , Teaima Mahmoud H. , Hamed Mohammed I. A. , Darwish Khaled M. , Hassan Mariam , Abdellatif Menna M.
Published: May 2024

Nanocomposite alginate hydrogel containing Propranolol hydrochloride (PNL) cerosomes (CERs) was prepared as a repurposed remedy for topical skin Methicillin-Resistant Staphylococcus aureus (MRSA) infection. CERs were formed via an ethanol injection technique using different ceramides, Kolliphores® as a surfactant, and Didodecyldimethylammonium bromide (DDAB) as a positive charge inducer. CERs were optimized utilizing 13. 22 mixed-factorial design employing Design-Expert® software, the assessed responses were entrapment efficiency (EE%), particle size (PS), and zeta potential (ZP). The optimum CER, composed of 5 mg DDAB, ceramide VI, and Kolliphor® RH40 showed tubular vesicles with EE% of 92.91 ± 0.98%, PS of 388.75 ± 18.99 nm, PDI of 0.363 ± 0.01, and ZP of 30.36 ± 0.69 mV. Also, it remained stable for 90 days and manifested great mucoadhesive aspects. The optimum CER was incorporated into calcium alginate to prepare nanocomposite hydrogel. The ex-vivo evaluation illustrated that PNL was permeated in a more prolonged pattern from PNL-loaded CERs nanocomposite related to PNL-composite, optimum CER, and PNL solution. Confocal laser scanning microscopy revealed a perfect accumulation of fluorescein-labeled CERs in the skin. The in-silico investigation illustrated that the PNL was stable when mixed with other ingredients in the CERs and confirmed that PNL is a promising candidate for curing MRSA. Moreover, the PNL-loaded CERs nanocomposite revealed superiority over the PNL solution in inhibiting biofilm formation and eradication. The PNL-loaded CERs nanocomposite showed superiority over the PNL-composite for treating MRSA infection in the in-vivo mice model. Histopathological studies revealed the safety of the tested formulations. In conclusion, PNL-loaded CERs nanocomposite provided a promising, safe cure for MRSA bacterial skin infection.

Graphical Abstract