bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genetic mapping of loci affecting seedling and adult-plant resistance to powdery mildew derived from two CIMMYT wheat lines
Authors: Golzar Hossein , Shankar Manisha , Sznajder Beata , Fox Rebecca , Reeves Karyn , Mather Diane E. 
Published: May 2024

Abstract
Main conclusion
PM3 and PM8 alleles carried by two CIMMYT wheat lines confer powdery mildew resistance in seedlings and/or adult plants. A stage-specific epistatic interaction was observed between PM3 and PM8.

Abstract
Powdery mildew is an important foliar disease of wheat. Major genes for resistance, which have been widely used in wheat breeding programs, are typically effective against only limited numbers of virulence genes of the pathogen. The main aim of this study was to map resistance loci in wheat lines 7HRWSN58 and ZWW09-149 from the International Maize and Wheat Improvement Center (CIMMYT). Doubled haploid populations (Magenta/7HRWSN58 and Emu Rock/ZWW09-149) were developed and grown in controlled environment experiments and inoculated with a composite of Blumeria graminis f.sp. tritici isolates that had been collected at various locations in Western Australia. Plants were assessed for powdery mildew symptoms (percentage leaf area diseased) on seedlings and adult plants. Populations were subjected to genotyping-by-sequencing and assayed for known SNPs in the resistance gene PM3. Linkage maps were constructed, and markers were anchored to the wheat reference genome sequence. In both populations, there were asymptomatic lines that exhibited no symptoms. Among symptomatic lines, disease severity varied widely. In the Magenta/7HRWSN58 population, most of the observed variation was attributed to the PM3 region of chromosome 1A, with the allele from 7HRWSN58 conferring resistance in seedlings and adult plants. In the Emu Rock/ZWW09-149 population, two interacting quantitative trait loci were mapped: one at PM3 and the other on chromosome 1B. The Emu Rock/ZWW09-149 population was confirmed to segregate for a 1BL·1RS translocation that carries the PM8 powdery mildew resistance gene from rye. Consistent with previous reports that PM8-derived resistance can be suppressed by PM3 alleles, the observed interaction between the quantitative trait loci on chromosomes 1A and 1B indicated that the PM3 allele carried by ZWW09-149 suppresses PM8-derived resistance from ZWW09-149, but only at the seedling stage. In adult plants, the PM8 region conferred resistance regardless of the PM3 genotype. The resistance sources and molecular markers that were investigated here could be useful in wheat breeding.
Comparative analysis of treatment decision-making in patients with localized prostate and cervical cancer: what influences receiving surgery or radiotherapy?
Authors: Minamitani Masanari , Katano Atsuto , Mukai Tomoya , Ohira Shingo , Nakagawa Keiichi 
Published: May 2024

Abstract
Purpose
This study focused on identifying the factors influencing the decision-making process in patients with localized prostate and cervical cancer in Japan and specifically examining the choice between surgery and radiotherapy.

Methods
Patients with specific cancer stages registered with a healthcare research company for whom radical surgery or radiotherapy was equally effective and recommended participated in this cross-sectional online survey.

Results
The responses of 206 and 231 patients with prostate and cervical cancer, respectively, revealed that both groups relied heavily on the physicians’ recommendations (prostate: odds ratio (OR) = 40.3, p < 0.001; cervical: OR = 5.59, p < 0.001) and their impression of radiotherapy (prostate: OR = 9.22, p < 0.001; cervical: OR = 2.31, p < 0.001). Factors such as hypertension (OR = 6.48, p < 0.05), diabetes mellitus (OR = 9.68, p < 0.05), employment status (OR = 0.08, p < 0.01), and impressions of surgery (OR = 0.14, p < 0.01) also played a significant role in patients with prostate cancer. In contrast, the specialty of the physician (OR = 4.55, p < 0.05) proposing the treatment influenced the decision-making process of patients with cervical cancer. Information sources varied between the two groups: patients with prostate cancer were more inclined towards printed materials, whereas patients with cervical cancer were more inclined towards interpersonal relationships.

Conclusion
Although several limitations, such as the sample and recall bias, were noted, this study emphasizes the role of psychosocial factors in the decision-making process and the requirement for tailored information sources.
CVApool: using null-space of CNN weights for the tooth disease classification
Authors: Can Zuhal , Isik Sahin , Anagun Yildiray 
Published: May 2024

AbstractIn light of current developments in dental care, dental professionals have increasingly used deep learning methods to get precise diagnoses of oral problems. Using intraoral X-rays in dental radiography is imperative in many dental interventions. Integrating deep learning techniques with a unique collection of intraoral X-ray images has been undertaken to enhance the accuracy of dental disease detection. In this study, we propose an alternative pooling layer, namely the Common Vector Approach Pooling technique, to address the constraints associated with average pooling in deep learning methods. The experiments are conducted on a large dataset, involving twenty different dental conditions, divided into seven categories. Our proposed approach achieved a high accuracy rate of 86.4% in identifying dental problems across the seven oral categories.
Differences between criminal offender versus non-offender female patients with schizophrenia spectrum disorder: a retrospective cohort study
Authors: Jacobshagen Lynn , Machetanz Lena , Kirchebner Johannes 
Published: May 2024

AbstractThe purpose of this study was to investigate the difference between offender female patients (OFS) and non-offender female patients (NOFS) with schizophrenia spectrum disorder (SSD).The patients in this study were admitted to the university psychiatry in Zurich Switzerland between 1982 and 2016. Demography, psychopathology, comorbidity, and treatment differences were analyzed using binary statistics to compare 31 OFS and 29 matching NOFS with SSD. The Fisher‘s exact test was used for categorical data variables in small size samples and the Mann-Whitney-U-Test for nonparametric test variables, adjusted with the Benjamini and Hochberg method.The results indicate that the NOFS were cognitively more impaired, they were more likely to have had antipsychotic drugs prescribed (NOFS; 100%, OFS: 71%, OR 1.41, 95% CI 1.13-1.77, p=0.022) and their medication compliance was higher (NOFS: 84.6%, OFS: 4.5%, OR 0.09, 95% CI 0.00-0.08, p=0.000). In contrast, the OFS had completed compulsory school less often and the were observed to be more often homeless and socially isolated (OFS: 72.4%, NOFS: 34.6%, OR 4.96, 95% CI 1.58-15.6, p=0.026), self-disorders (OFS: 51.6%, NOFS: 11.1%, OR 8.53, 95% CI 2.12-34.32, p=0.011), delusions (OFS: 96.8%, NOFS: 63%, OR 17.65, 95% CI 2.08-149.99, p=0.014) and substance use disorder (51.6%, OR 0.27, 95% CI 0.09-0.85, p=0.039). Clinicians treating female offender patients with SSD should focus more on the treatment for substance use disorder, medication and early recognition of the illness for preventative purposes.
Evaluating the effectiveness of sonification in science education using Edukoi
Authors: Guiotto Nai Fovino Lucrezia , Zanella Anita , Di Mascolo Luca , Ginolfi Michele , Carpita Nicolò , Trovato Manuncola Francesco , Grassi Massimo 
Published: May 2024

AbstractScience, Technology, Engineering, and Mathematics classes are mainly taught using visual supports. However, the advancement of technology and the increasing efforts to equip schools with digital instrumentation have opened up the possibility of exploring new teaching avenues, such as sonification. We explored the efficacy of sonification in education using a novel interactive tool, Edukoi, in the context of astronomy, which is predominantly disseminated through spectacular images, animations, and visuals. Edukoi is a motion-sensing sonification tool that converts images to sound in real-time for educational applications. Our study, conducted with nearly 150 middle-school students, included a preliminary questionnaire investigating the perception, engagement, and motivation of students towards science; two sessions dedicated to testing Edukoi and assessing the potentiality of the software for the recognition of the colour and the shape of real and sketchy images; and a final second administration of the questionnaire to capture a possible beneficial effect of the use of the tool in the engagement towards science. Results showed the effectiveness of Edukoi in colour recognition and reasonable efficacy in shape identification. Although the questionnaire did not reveal an increment in science engagement over the time of the study, oral feedback from the students was positive. Edukoi presents a possible alternative teaching aid, potentially benefiting diverse learners, including the visually impaired. Further developments of the software are needed to enhance its effectiveness in conveying more complex features such as composite colours or shapes.
Eosinophilic esophagitis and risk of incident major adverse cardiovascular events: a nationwide matched cohort study
Authors: Forss Anders , Uchida Amiko M. , Roelstraete Bjorn , Ebrahimi Fahim , Garber John J. , Sundström Johan , Ludvigsson Jonas F. 
Published: May 2024

Abstract
Background
Inflammatory diseases have been associated with an increased cardiovascular risk. However, data on incident major adverse cardiovascular events (MACE) from large population-based cohorts of patients with eosinophilic esophagitis (EoE) is lacking.

Methods
This study included all Swedish adults with EoE without a record of previous cardiovascular disease (CVD) (1990–2017, N = 1546) with follow-up until 2019. Individuals with EoE were identified from prospectively recorded histopathology reports from all Swedish pathology departments (n = 28). EoE patients were matched at index date for age, sex, calendar year and county with up to five general population reference individuals (N = 7281) without EoE or CVD. Multivariable-adjusted hazard ratios (aHRs) for MACE (ischemic heart disease, congestive heart failure, stroke and cardiovascular mortality) were calculated using Cox proportional hazards models. Full sibling comparisons and adjustment for cardiovascular medication were performed.

Results
During a median follow-up of 6.0 years, we observed 65 incident MACE in patients with EoE (6.4/1000 person-years (PY)) and 225 in reference individuals (4.7/1000 PY). EoE was not associated with a higher risk of MACE (aHR = 1.14, 95% CI = 0.86–1.51) or any of its components. No differences between age, sex and follow-up time were observed. The results remained stable in sensitivity analyses, including when adjusting for relevant cardiovascular medications and a full sibling comparison.

Conclusions
In this large population-based cohort study, patients with EoE had no increased risk of MACE compared to reference individuals and full siblings. The results are reassuring for patients with EoE.
An efficient full-size convolutional computing method based on memristor crossbar
Authors: Tan Jinpei , Shen Siyuan , Duan Shukai , Wang Lidan 
Published: May 2024

AbstractModern artificial intelligence systems based on neural networks need to perform a large number of repeated parallel operations quickly. Without hardware acceleration, they cannot achieve effectiveness and availability. Memristor-based neuromorphic computing systems are one of the promising hardware acceleration strategies. In this paper, we propose a full-size convolution algorithm (FSCA) for the memristor crossbar, which can store both the input matrix and the convolution kernel and map the convolution kernel to the entire input matrix in a full parallel method during the computation. This method dramatically increases the convolutional kernel computations in a single operation, and the number of operations no longer increases with the input matrix size. Then a bidirectional pulse control switch integrated with two extra memristors into CMOS devices is designed to effectively suppress the leakage current problem in the row and column directions of the existing memristor crossbar. The spice circuit simulation system is built to verify that the design convolutional computation algorithm can extract the feature map of the entire input matrix after only a few operations in the memristor crossbar-based computational circuit. System-level simulations based on the MNIST classification task verify that the designed algorithm and circuit can effectively implement Gabor filtering, allowing the multilayer neural network to improve the classification task recognition accuracy to 98.25% with a 26.2% reduction in network parameters. In comparison, the network can even effectively immunize various non-idealities of the memristive synaptic within 30%.
Deepfake video detection: challenges and opportunities
Authors: Kaur Achhardeep , Noori Hoshyar Azadeh , Saikrishna Vidya , Firmin Selena , Xia Feng 
Published: May 2024

AbstractDeepfake videos are a growing social issue. These videos are manipulated by artificial intelligence (AI) techniques (especially deep learning), an emerging societal issue. Malicious individuals misuse deepfake technologies to spread false information, such as fake images, videos, and audio. The development of convincing fake content threatens politics, security, and privacy. The majority of deepfake video detection methods are data-driven. This survey paper aims to thoroughly analyse deepfake video generation and detection. The paper’s main contribution is the classification of the many challenges encountered while detecting deepfake videos. The paper discusses data challenges such as unbalanced datasets and inadequate labelled training data. Training challenges include the need for many computational resources. It also addresses reliability challenges, including overconfidence in detection methods and emerging manipulation approaches. The research emphasises the dominance of deep learning-based methods in detecting deepfakes despite their computational efficiency and generalisation limitations. However, it also acknowledges the drawbacks of these approaches, such as their limited computing efficiency and generalisation. The research also critically evaluates deepfake datasets, emphasising the necessity for good-quality datasets to improve detection methods. The study also indicates major research gaps, guiding future deepfake detection research. This entails developing robust models for real-time detection.
Climate change adaptation projects of transport facilities: is a demonstrator necessary?
Authors: Zheng Shiyuan , Jiang Changmin , Wang Kun 
Published: May 2024

AbstractTransport facilities are increasingly threatened by the climate-change related natural disasters in recent years. In order to incentivize the transport facility operators to engage in climate change adaptation, governments may provide subsidies to the adaptation investment. Due to the substantial uncertainties in the outcomes of the adaptation projects, the government can set up an “experiment” project, which can be used as a demonstrator. In this paper, we develop real-option game models to investigate the transport facility operators’ adaptation investment under static stochastic demand and time-varying stochastic demand. Meanwhile, the government’s optimal decisions on whether to set up a demonstrator and the related subsidy policies are also examined. We find that under static stochastic demand, the government prefers to set up a demonstrator if the marginal benefit of the adaptation capacity is larger than its marginal cost, or the demonstration effect is high enough. Under time-varying stochastic demand, the government prefers to set up a demonstrator when the demand volatility is low. Moreover, increasing demand volatility requires less (or more) subsidy, when the demonstrator is (or is not) set up. Increasing demand volatility leads to postponement of the adaptation timing and more adaptation investment, irrespective of whether there is a demonstrator.
Dose-Response Effects of MittEcho, a Measurement Feedback System, in an Indicated Mental Health Intervention for Children in Municipal and School Services in Norway
Authors: Haug Ida Mari , Neumer Simon-Peter , Handegård Bjørn Helge , Lisøy Carina , Rasmussen Lene-Mari P. , Bania Elisabeth Valmyr , Adolfsen Frode , Patras Joshua 
Published: May 2024

AbstractIncluding routine client feedback can increase the effectiveness of mental health interventions for children, especially when implemented as intended. Rate of implementation, or dose, of such feedback interventions has been shown to moderate results in some studies. Variation in implementation and use of client feedback may also contribute to the mixed results observed within the feedback literature. This study evaluates dose-response associations of client feedback using a novel Measurement Feedback System (MFS) within an indicated group intervention. The primary aim was to determine whether the rate of MFS implementation predicts symptom reduction in anxiety and depression among school-aged children. The secondary aim was to assess whether the rate of MFS implementation influences children’s satisfaction with the group intervention or their dropout rates. Data were collected via a randomized factorial study (clinicaltrials.gov NCT04263558) across 58 primary schools in Norway. Children aged 8 to 12 years (N = 701) participated in a group-based, transdiagnostic intervention targeting elevated symptoms of anxiety or depression. Half of the child groups also received the feedback intervention using the MittEcho MFS. Group leaders (N = 83), recruited locally, facilitated the interventions. The MFS dose was measured using the Implementation Index, which combines the use of MFS by both children and providers (group leaders) into a single dose variable. Results showed no significant additional effect of dose of MFS on change in depression or anxiety scores, on user satisfaction with the intervention or on intervention dropout. The discussion addresses potential reasons for these non-significant findings and implications for MFS implementation in preventive, group-based interventions in school settings.
Assessing invasion risks using EICAT-based expert elicitation: application to a conservation translocation
Authors: Vernet Maude , Trask Amanda E. , Andrews Caitlin E. , Ewen John G. , Medina Suzanne , Moehrenschlager Axel , Canessa Stefano 
Published: May 2024

AbstractConservation translocations are widely used to recover threatened species, but can pose risks to recipient ecosystems, particularly in the case of conservation introductions. Because of limited data and uncertainty, risk assessments for such projects often rely on extrapolated evidence and expert opinion, further complicating decision making. The Environmental Impact Classification for Alien Taxa (EICAT) serves to classify the realised impacts of invasive species. We developed a protocol combining EICAT and formal expert elicitation to predict these impacts. We applied our protocol to the extinct-in-the-wild sihek (Guam kingfisher; Todiramphus cinnamominus), for which introduction outside the known historical range is being considered. We elicited from multiple experts probability estimates of impact levels across four impact mechanisms and five candidate release sites. We aggregated estimates using simulation-based and Bayesian approaches, with and without accounting for expert confidence. Experts generally agreed that sihek introduction might impact the recipient ecosystem through predation, competition, and disease, although they disagreed about the likely impact levels. Releases to Palmyra Atoll were considered to pose the lowest risk across candidate sites, so this site was selected for further detailed ecological assessments and risk mitigation efforts. EICAT, with its standardized impact mechanisms and definitions, helped reduce the linguistic uncertainty and subjectivity common to expert-based assessments. Expressing judgments as probabilities allowed us to evaluate uncertainty transparently and to assess the weight of expert confidence on the overall risk estimation. Formal quantitative elicitation and aggregation then allowed a transparent evaluation of results, facilitating communication with stakeholders and decision-makers.
“We are not droids”– IPCC participants’ senses of responsibility and affective experiences across the production, assessment, communication and enactment of climate science
Authors: Hartz Friederike 
Published: May 2024

AbstractThe growing understanding of how and why the climate is changing has led to mounting calls on climate scientists to take on more responsibility in the context of climate science. While an increasing responsibilisation takes place in the academic literature, asking scientists to “do more”, there is limited engagement with the responsibilities that scientists already assume in practice. Drawing on novel empirical insights from 77 semi-structured interviews with participants of the Intergovernmental Panel on Climate Change (IPCC), I take the increasing ‘peer-to-peer responsibilisation’ as a point of departure to contextualise such calls, asking what scientists themselves already feel and assume responsibility for at both the personal and professional level. I find that climate experts participating in the IPCC not only assume increasing responsibility across different stages of the IPCC process but also beyond. As my data analysis demonstrates, IPCC participants increasingly feel and take on responsibility not only for producing and assessing climate science but also for communicating and/or enacting it (PACE). The contribution of the article is threefold. Firstly, it makes sense of the mounting peer-to-peer responsibilisation by surfacing and contextualising how, why and with what consequences particular climate knowledge holders already assume responsibility for climate science at four key moments (PACE). Secondly, conceiving of the IPCC as a community of practice, the article provides novel insights into the work of IPCC participants and their individual experiences with the institution and its processes. Thirdly, the article adds evidence to a growing body of literature on practices of responsibility and climate emotions by focussing on participants' individual affective experiences. As the 7th Assessment Cycle gathers pace, I propose some measures the IPCC may undertake to support participants in assuming their responsibilities in the context of climate science.