bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fundamentals of Bowel Cancer for Biomedical Engineers
Authors: Tian Jiyuan , Afebu Kenneth Omokhagbo , Bickerdike Andrew , Liu Yang , Prasad Shyam , Nelson Bradley J. 
Published: February 2023

AbstractBowel cancer is a multifactorial disease arising from a combination of genetic predisposition and environmental factors. Detection of bowel cancer and its precursor lesions is predominantly performed by either visual inspection of the colonic mucosa during endoscopy or cross-sectional imaging. Most cases are diagnosed when the cancer is already at an advanced stage. These modalities are less reliable for detecting lesions at the earliest stages, when they are typically small or flat. Removal of lesions at the earliest possible stage reduces the risk of cancer death, which is largely due to a reduced risk of subsequent metastasis. In this review, we summarised the origin of bowel cancer and the mechanism of its metastasis. In particular, we reviewed a broad spectrum of literatures covering the biomechanics of bowel cancer and its measurement techniques that are pertinent to the successful development of a bowel cancer diagnostic device. We also reviewed existing bowel cancer diagnostic techniques that are available for clinical use. Finally, we outlined current clinical needs and highlighted the potential roles of medical robotics on early bowel cancer diagnosis.
A systematic literature review on the use of big data analytics in humanitarian and disaster operations
Authors: Kondraganti Abhilash , Narayanamurthy Gopalakrishnan , Sharifi Hossein 
Published: February 2023

AbstractAt the start of this review, 168 million individuals required humanitarian assistance, at the conclusion of the research, the number had risen to 235 million. Humanitarian aid is critical not just for dealing with a pandemic that occurs once every century, but more for assisting amid civil conflicts, surging natural disasters, as well as other kinds of emergencies. Technology's dependability to support humanitarian and disaster operations has never been more pertinent and significant than it is right now. The ever-increasing volume of data, as well as innovations in the field of data analytics, present an incentive for the humanitarian sector. Given that the interaction between big data and humanitarian and disaster operations is crucial in the coming days, this systematic literature review offers a comprehensive overview of big data analytics in a humanitarian and disaster setting. In addition to presenting the descriptive aspects of the literature reviewed, the results explain review of existent reviews, the current state of research by disaster categories, disaster phases, disaster locations, and the big data sources used. A framework is also created to understand why researchers employ various big data sources in different crisis situations. The study, in particular, uncovered a considerable research disparity in the disaster group, disaster phase, and disaster regions, emphasising how the focus is on reactionary interventions rather than preventative approaches. These measures will merely compound the crisis, and so is the reality in many COVID-19-affected countries. Implications for practice and policy-making are also discussed.
Screening behaviours, demographics, and stage at diagnosis in the publicly funded Ontario Breast Screening Program
Authors: Gold Nicholas , Christensen Rebecca A. G. , Arneja Jasleen , Aminoleslami Arian , Anderson Geoffrey M. , Brooks Jennifer D. 
Published: February 2023

Abstract
Purpose
The Ontario Breast Screening Program (OBSP) offers free screening mammograms every 2 years, to women aged 50–74. Study objectives were to determine demographic characteristics associated with the adherence to OBSP and if women screened in the OBSP have a lower stage at diagnosis than non-screened eligible women.

Methods
We used the Ontario cancer registry (OCR) to identify 48,927 women, aged 51–74 years, diagnosed with breast cancer between 2010 and 2017. These women were assigned as having undergone adherent screening (N = 26,108), non-adherent screening (N = 6546) or not-screened (N = 16,273) in the OBSP. We used multinomial logistic regression to investigate the demographic characteristics associated with screening behaviour, as well as the association between screening status and stage at diagnosis.

Results
Among women with breast cancer, those living in rural areas (versus the largest urban areas) had a lower odds of not being screened (odds ratio [OR] 0.73, 95% confidence interval [CI] 0.68, 0.78). Women in low-income (versus high-income) communities were more likely not to be screened (OR 1.42, 95% CI 1.33, 1.51). When stratified, the association between income and screening status only held in urban areas. Non-screened women were more likely to be diagnosed with stage II (OR 1.91, 95% CI 1.82, 2.01), III (OR 2.96, 95% CI 2.76, 3.17), or IV (OR 8.96, 95% CI 7.94, 10.12) disease compared to stage I and were less likely to be diagnosed with ductal carcinoma in situ (DCIS) (OR 0.91, 95% CI 0.84–0.98).

Conclusions
This study suggests that targeting OBSP recruitment efforts to lower income urban communities could increase screening rates. OBSP adherent women were more likely to be diagnosed with earlier stage disease, supporting the value of this initiative and those like it.
Governance and Power Across Intersecting Value Chains: The Case of South African Apples
Authors: Visser Margareet , Alford Matthew 
Published: February 2023

AbstractA prevailing focus of global value chain (GVC) analysis has been on the dominance of highly consolidated Northern retailers over suppliers in the global South. The rise of regional and domestic value chains (RVCs/DVCs) within the Global South which intersect with GVCs, has been found to involve private governance by Southern lead firms. However, we have limited insight into the implications of this changing value chain context for the role of public governance, or different groups of workers. South African fruit provides a rich example of rapid shifts in RVCs/DVCs governed by different private and public actors. The following two questions are addressed: How is the public–private governance of labour standards evolving in the context of RVCs and DVCs that intersect with GVCs? What are the implications for workers operating across different value chains? Conceptually, the paper draws on GVC analysis of governance and power, to examine the governance of labour standards across intersecting value chains. Our analysis highlights the intentional and unintentional mechanisms through which power and standard-setting are diffused away from Northern lead firms to a wider array of public and private actors operating across RVCs/DVCs. While existing analysis of governance and power focuses on singular GVCs, our study highlights diffusion of power across intersecting value chains, with significant and uneven implications for the public–private governance of labour standards. Our findings carry significant ethical implications for the governance of labour standards, as end-markets continue to shift South.
Reflective-net: learning from explanations
Authors: Schneider Johannes , Vlachos Michalis 
Published: February 2023

AbstractWe examine whether data generated by explanation techniques, which promote a process of self-reflection, can improve classifier performance. Our work is based on the idea that humans have the ability to make quick, intuitive decisions as well as to reflect on their own thinking and learn from explanations. To the best of our knowledge, this is the first time that the potential of mimicking this process by using explanations generated by explainability methods has been explored. We found that combining explanations with traditional labeled data leads to significant improvements in classification accuracy and training efficiency across multiple image classification datasets and convolutional neural network architectures. It is worth noting that during training, we not only used explanations for the correct or predicted class, but also for other classes. This serves multiple purposes, including allowing for reflection on potential outcomes and enriching the data through augmentation.
Secret sharing on regular bipartite access structures
Authors: Gyarmati Máté 
Published: February 2023

AbstractBipartite secret sharing schemes realize access structures in which the participants are divided into two parts, and all the participants in the same part play an equivalent role. Such a bipartite structure can be described by the collection of its minimal points. The complexity of a scheme is the ratio between the maximum share size given to the participants and the secret size, and the Shannon complexity of a structure is the best lower bound provided by the entropy method. Within this work, we compute the Shannon complexity of regular bipartite structures and provide optimal constructions for some bipartite structures defined by 2 and 3 points.
Model of a military autonomous device following International Humanitarian Law
Authors: Zurek Tomasz , Kwik Jonathan , van Engers Tom 
Published: February 2023

AbstractIn this paper we introduce a computational control framework that can keep AI-driven military autonomous devices operating within the boundaries set by applicable rules of International Humanitarian Law (IHL) related to targeting. We discuss the necessary legal tests and variables, and introduce the structure of a hypothetical IHL-compliant targeting system.
Functors in Lorentzian geometry: three variations on a theme
Authors: Müller Olaf 
Published: February 2023

AbstractWe consider three examples of functors from Lorentzian categories and their applications in finiteness results, singularity theorems and boundary constructions. The third example is a novel functor from the category of ordered measure spaces to the category of Lorentzian pre-length spaces in the sense of Kunzinger–Sämann.
The interplay of time management and academic self-efficacy and their influence on pre-service teachers’ commitment in the first year in higher education
Authors: Bargmann Carina , Kauffeld Simone 
Published: February 2023

AbstractThe first academic year involves a variety of challenges students must overcome to maintain their commitment to enter the teaching profession. Students can build on their initial experience in the second semester, while everything is new in the first semester. This longitudinal study investigates the interplay of academic self-efficacy and time management, which are seen as crucial in the first year, and their effects on pre-service teachers’ commitment to their studies in the first year. By considering three measurement points in a random intercept-cross lagged panel model (RI-CLPM) to data from 579 students, we distinguish for the first time between-person and within-person effects and compare the students’ experiences in the first and second semester. As expected, students with higher self-efficacy were more committed to their studies and reported better time management. We found considerable differences in the relationships between the first and second semesters at the within-person level, revealing that students’ prior time management was not significantly connected with subsequent commitment in the first semester, but in the second semester. Surprisingly, students’ self-efficacy showed a small negative relationship with commitment in both semesters. Theoretical and practical implications for students, lecturers, and higher education institutions are discussed.
Modelling and corrosion of coated stainless steel substrates for bipolar plates at different temperatures
Authors: Steinhorst Maximilian , Auinger Michael , Roch Teja , Leyens Christoph 
Published: February 2023

Abstract
The corrosion behaviour of coated stainless steel as bipolar plate material in PEM fuel cell applications and its improvement through the surface modifications was investigated. A commercial SS316L stainless steel grade was deposited with thin multi-layer coatings, consisting of a carbon top layer and a chromium interlayer of two different thicknesses. Interfacial contact resistance measurements revealed that the applied Cr/C coatings are highly conductive and surpass the ICR criteria, suggested by the U.S. Department of Energy. Corrosion resistance was thoroughly analysed by potentiodynamic polarisation and cyclic voltammetry in 0.5 M $${\hbox {H}_2{\text{SO}}_4}$$

H
2

SO
4

at room temperature and 80 °C, respectively, combined with numerical modelling. Electrochemical results agree well with numerical modelling, including the dissolution of metallic species, local pH-shifts and changes of electrolyte conductivity. Furthermore, the study shows that the application of a Cr/C coating significantly reduces the current density in the passive region during potentiodynamic polarisation and lowering the corrosion rate of the steel substrate by at least a factor of two.

Graphical abstract
Adaptive behaviors of Drosophila larvae on slippery surfaces
Authors: Guo Li , Sun Yixuan , Liu Sijian 
Published: February 2023

AbstractFriction is ubiquitous but an essential force for insects during locomotion. Insects use dedicated bio-mechanical systems such as adhesive pads to modulate the intensity of friction, providing a stable grip with touching substrates for locomotion. However, how to uncover behavioral adaptation and regulatory neural circuits of friction modification is still largely understood. In this study, we devised a novel behavior paradigm to investigate adaptive behavioral alternation of Drosophila larvae under low-friction surfaces. We found a tail looseness phenotype similar to slipping behavior in humans, as a primary indicator to assess the degree of slipping. We found a gradual reduction on slipping level in wild-type larvae after successive larval crawling, coupled with incremental tail contraction, displacement, and speed acceleration. Meanwhile, we also found a strong correlation between tail looseness index and length of contraction, suggesting that lengthening tail contraction may contribute to enlarging the contact area with the tube. Moreover, we found a delayed adaptation in rut mutant larvae, inferring that neural plasticity may participate in slipping adaptation. In conclusion, our paradigm can be easily and reliably replicated, providing a feasible pathway to uncover the behavioral principle and neural mechanism of acclimation of Drosophila larvae to low-friction conditions.
The Measurement of Domestic Abuse – Redeveloping the Crime Survey for England and Wales
Authors: Hester Marianne , Walker Sarah-Jane , Myhill Andy 
Published: February 2023

AbstractPurposeIn 2020 the England and Wales Office for National Statistics commissioned the research reported here to review the current questions on domestic abuse in the Crime Survey for England and Wales (CSEW) and to establish how better data for policy and practice might be produced. The CSEW is a representative population survey that since the early 2000s has provided ongoing measurement of domestic abuse via a dedicated domestic abuse module, with regular publication of headline prevalence and other descriptive data. At the same time the measurement of domestic violence in the CSEW has also been the subject of ongoing debate and critique, in particular whether it is appropriate to use catch-all prevalence measures in the context of policy, practice and commissioning of services.MethodThe research included analysis of CSEW user survey data (N = 39), focus group and individual interviews with male and female victims/survivors (N = 11), consultation with core stakeholders (N = 18), and consideration of international surveys and recent legislation.ResultsCurrent CSEW questions do not capture domestic abuse accurately or reflect lived experience, coercive control needs to be seen at the core of domestic abuse, and while physical assault is an important part of measuring domestic abuse establishing frequency through counting events is probably impossible.ConclusionA fundamental rethink of the current CSEW self-completion module is required, with a wider set of questions about domestic abuse and impact. A revised module should identify and provide estimation of prevalence for different ‘abuse profiles’ that would complement improved headline measures and better inform policy and practice.
Do Wisdom and Well-Being Always Go Hand in Hand? The Role of Dialogues with Oneself
Authors: Puchalska-Wasyl Małgorzata M. 
Published: February 2023

AbstractRecently, it has been demonstrated that wisdom positively predicted well-being. The paradox is that the development of wisdom is strongly linked to adverse experiences that can make a person feel “wiser but sadder”. This paper aims to test whether two types of dialogues with oneself, i.e. integrative and identity internal dialogues moderate the relationships of critical life experiences and reminiscence/reflectiveness (as components of wisdom) with psychological well-being. To check this, 202 women and 217 men completed four measures: Self-Assessed Wisdom Scale, Psychological Well-Being Scales, Internal Dialogical Activity Scale—Revised, and Scale of Integration of Perspectives. It was found that critical life experiences and reminiscence/reflectiveness poorly (usually negatively) or not at all predict the general well-being and its dimensions. Integrative and identity internal dialogues moderate these relationships: with a higher intensity of these dialogues the negative relationships weaken, insignificant ones become positively significant, and positive links strengthen. The findings can be used by psychologists to promote the development of clients’ wisdom, and consequently, well-being.
Microscaled Multi-frequency Eddy Current Analysis for High Throughput Characterization of Steel Micro-samples
Authors: Bobrov Ilia , Epp Jérémy 
Published: February 2023

AbstractIn the present study microscaled samples were investigated using multi-frequency eddy current analysis with high spatial resolution. Multi-frequency eddy current analyses performed using different exciting frequencies have shown that the local signal distribution depends on the geometry of the samples. Due to this fact, the positioning of the sensor may influence the material state qualification. The investigation of several heat treatment conditions of steel 100Cr6 (AISI 52100) in spheroidized carbide, bainitic, martensitic quenched, and tempered states showed that the material states can be assessed and differentiated from each other. The recorded eddy current signals were analysed and discussed. It was shown that, with increased frequency, the differences of the values obtained for different material conditions increased, allowing a robust identifaction of the different states. The best differentiation was obtained for 10 MHz. The frequency-dependent position error was estimated. The position error decreased from 70% at10 kHz to 6% at 10 MHz. The study shows that this fast analysis method is qualified for fast screening of microscaled samples for high-throughput material development.
Unraveling the Bidirectional Associations between Parental Knowledge and Children’s Externalizing Behavior
Authors: Visscher Anke H. , Boele Savannah , Denissen Jaap J. A. 
Published: February 2023

AbstractAlthough within- and between-family bidirectional associations between parental knowledge and children’s externalizing behavior have been theoretically proposed, studies that unravel these associations simultaneously remain scarce. This study examined these bidirectional associations within and between German families. 3611 families participated across one-year intervals between children ages 8 to 15 (50.6% boys, 34.5% fathers, 89.0% German-born, Mwaves = 3.63, SDwaves = 2.00). Random intercept cross-lagged panel models (RI-CLPM) with linear slopes revealed negative between-family associations between parental knowledge and children’s externalizing behavior, and a negative association between the random linear slopes. Generally, no within-family cross-lagged effects were found, but there were some correlated slopes across families. When teasing apart paternal and maternal knowledge, father-driven but not mother-driven lagged effects of increased knowledge predicting decreased externalizing behavior were found. The findings illustrate the importance of fathers’ knowledge and new directions for within-family studies of parent-child interactions.
Excessive iodine induces thyroid follicular epithelial cells apoptosis by activating HIF-1α-mediated hypoxia pathway in Hashimoto thyroiditis
Authors: Zhang Lili , Sun Xiaojing , Liu Lin , Wang Ping , Qian Linxue 
Published: February 2023

Abstract
Background
Hashimoto thyroiditis (HT) is considered the most common autoimmune thyroid disease. A growing body of evidence suggests that HT incidence correlates with excessive iodine intake. We should probe the effects of excessive iodine intake in HT development and its possible mechanism.

Methods and results
The study recruited 20 patients: 10 with HT and 10 with nodular goiter. We detected the expression of an apoptosis-related protein caspase-3 by immunohistochemistry. In vitro study, we explored the proliferation and apoptosis status in thyroid follicular cells (TFCs) stimulated with different iodine concentrations by MTT and flow cytometry. Then we performed RNA sequence analysis of Nthy-ori3-1 cells treated for 48 h with KI to probe the underlying mechanism. Finally, we used RT-PCR and siRNA interference to verify the results. We identified apoptosis in thyroid tissue obtained from HT patients coincides with the increase of caspase-3 levels. In vitro study, iodine suppressed proliferation of TFCs and promoted TFCs apoptosis in a dose-dependent manner with regulating caspase-3 activation. HIF-1α-NDRG1 mediated hypoxia pathway activation promoted the transmission of essential apoptosis signals in TFCs.

Conclusion
Our study confirmed that excessive iodine adsorption activates the HIF-1α-mediated hypoxia pathway to promote apoptosis of TFCs, which may be an important risk factor contributing to HT development.
Impacts of plant domestication on soil microbial and nematode communities during litter decomposition
Authors: Palomino Javier , García-Palacios Pablo , De Deyn Gerlinde B. , Martínez-García Laura Beatriz , Sánchez-Moreno Sara , Milla Rubén 
Published: February 2023

Abstract
Purpose
Plant domestication altered leaf litter quality. Since litter traits relate to soil functions and organisms (i.e., litter decomposition and soil decomposer communities), in this study we explore if domestication-induced changes in litter quality have affected their decomposability, and bacterial, fungal, and nematode communities in the soil.

Methods
We collected leaf litter from herbaceous crops and their wild progenitors, and measured litter chemical and physical traits. Then, we performed a litter decomposition assay on a common soil. After three months of litter incubation, we measured mass loss, nematode richness and community composition in ten crops. We also measured soil bacterial and fungal richness and community composition in six crops.

Results
Domesticated litters had less carbon (C) and leaf dry matter content (LDMC), which accelerated decomposition in comparison to wild litters. Fungal richness was higher in microcosms incubated with domesticated litters, while the effects of domestication on bacterial richness differed among crops. Domestication did not affect nematode richness. The effects of domestication on bacterial and fungal community compositions differed among crops. Soils with domesticated litters tended to have nematode communities with a higher abundance of bacterial feeding nematodes, in comparison to soils fed with wild litters.

Conclusion
Domestication altered decomposition at different levels. Leaf litter decomposability increased with domestication, which might alter resource inputs into the soil. Feeding soils with domesticated litters had idiosyncratic effects on soil microbes, but consistent effects on soil nematodes. Overall, domestication altered the linkages between crop residues and soil communities differently for bacteria, fungi, and nematodes.