bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ustilago maydis: ein faszinierendes Modellsystem für pathogene Pilze
Authors: Kahmann Regine 
Published: May 2024

AbstractIn this article I will review how over a period of about 70 years the advancement of new technologies has catapulted the odd fungus Ustilago maydis causing a strange disease in maize to surface as one of the most accessible systems to understand biotrophic eukaryotic plant pathogens molecularly. The U. maydis-maize interaction system allows fundamental insights into the intricacies of what it takes to infect a plant successfully, to modulate its metabolism so that it serves fungal needs and at the same time provides an environment that allows the fungus to undergo morphological transitions and complete its sexual life cycle.
Nutzbarmachung pflanzlicher Biomasse durch Abbau von Geruchsstoffen
Authors: Buyel Johannes Felix 
Published: May 2024

AbstractUsing residual plant biomass in sophisticated applications such as building materials and additives is often hindered by the presence of odorous, volatile organic compounds (VOC) that gas-out and create an unacceptable user experience. Likewise, plant-derived proteins may create off-flavors in vegan food products. The in planta production of enzymes that degrade VOCs, can facilitate the removal of the latter, for example during processing, and ensure compatibility with high-value applications
PCR-gestützter Nachweis von pflanzenparasitären Nematoden
Authors: Fatemi Ehsan , Jung Christian 
Published: May 2024

AbstractRoot lesion nematodes of the genus Pratylenchus pose a threat to global cereal production. The traditional identification by counting nematodes under the microscope is laborious and time-consuming. We have established a protocol for quantifying nematodes within cereal roots by RT-qPCR. This method holds promise in selecting resistant plant genotypes among large populations during plant breeding programs.
Quantitative Risk Assessment of Rock Instabilities Threatening Manazan Caves, Karaman, Türkiye
Authors: Fener Mustafa , Varol Nehir 
Published: May 2024

AbstractLocated in the southern part of Central Anatolia Region, Manazan Caves is situated in the east of Yeşildere Valley. It is a five-storey mass dwelling carved into a human-made high rock mass. Although there are no exact data to determine when the caves were carved, it is assumed that the caves were carved and settled in the Byzantine period during the 6th − 7th centuries. The geological and geotechnical data analyses were conducted in Manazan Caves. As a result of these analyses, it was observed that rock blocks of different sizes fell into the field in various times of the year, and there were instabilities in some individual rock blocks. In the study area, the movement mechanisms of rock slopes due to discontinuity were analysed by using various computer programs (DIPS, RockFALL, GEO5); and in order to ensure the safety of life and property and to protect this heritage cave, the current rockfall potential and risk along with slope instabilities were determined, and the fundamental prevention measures to be taken were discussed.
An Age-Progression Intervention for Smoking Cessation: A Pilot Study Investigating the Influence of Two Sets of Instructions on Intervention Efficacy
Authors: Walker Lucy , Grogan Sarah , Denovan Andrew , Scholtens Keira , McMillan Brian , Conner Mark , Epton Tracy , Armitage Christopher J. , Cordero Maria I. 
Published: May 2024

Abstract
Background
Research on age-progression facial morphing interventions for smoking cessation has not investigated the effect of different instructions for intervention delivery. The objective of this pilot study was to investigate the influence of two instruction types used to deliver the intervention on efficacy of the intervention.

Method
Women were recruited and randomly allocated to an age-progression intervention session with (i) neutral instructions; (ii) instructions designed to reassure; or (iii) a condition that controlled for participant engagement (“control”). The conditions were delivered in a one-time procedure, after which primary (quitting intentions) and secondary (cigarettes/week, quit attempts) outcomes were measured immediately post-intervention, and at 1 and 3 months.

Results
Seventy-two women (M = 25.7; SD = 0.9) were recruited and randomly allocated to condition (Neutral n = 27, Reassuring n = 22, Control n = 23). Quitting intentions were higher in the Reassuring versus Control arm (3 months post-intervention, F = 4.37, p = 0.016, 95% CI [0.231, 2.539], eta2 = 0.11); quit attempts were greater in the two intervention arms (58%) versus Control (1-month post-intervention, 15%) (χ2 = 9.83, p < 0.05, OR 1.00 [0.28, 3.63]).

Conclusions
Findings highlight the importance of optimising instructions to enhance intervention efficacy.

Trial Registration
clinicaltrials.gov Record: NCT03749382.
The Relationship Between Mindfulness and Impulsivity: The Role of Meditation
Authors: Leshem Rotem , Catz Or , Nave Ayelet 
Published: May 2024

Abstract
Objectives
Mindfulness and impulsivity traits are considered to be important aspects of mental well-being and health. These traits are often seen as opposing concepts, yet the nature of the relationship between them is unclear, mainly because they are complex to define. The aim of this research was to investigate the relationship between impulsivity and mindfulness, taking into account the impact of mindfulness meditation experience on this connection.

Method
A total of 174 mentally and physically healthy young adults were assigned to either a non-meditation group or a meditation group based on their experience in meditation practices. Participants completed self-report scales to evaluate their impulsivity and mindfulness traits.

Results
Trait impulsivity scales and dysfunctional impulsivity were negatively correlated with trait mindfulness, while functional impulsivity was positively correlated with trait mindfulness. While meditation practice significantly predicted trait mindfulness, its moderating effect on the relationship between impulsivity and mindfulness was limited.

Conclusions
The varying relationship between impulsivity subscales and trait mindfulness, together with the relatively limited association between meditation practice and these personality traits, emphasizes the importance of considering different aspects of impulsivity and acknowledging how individual differences affect the relationship between impulsivity and mindfulness.

Preregistration
This study is not preregistered.
Maximizing power generation in single-chamber microbial fuel cells: the role of LiTa0.5Nb0.5O3/g-C3N4 photocatalyst
Authors: Lazar Nour-eddine , Mazkad Driss , Kharti Hamza , Yalcinkaya Fatma , Pietrelli Andrea , Ferrara Vincenzo , Touach Noureddine , Benzaouak Abdellah , Mahi Mohammed El , Lotfi El Mostapha 
Published: May 2024

AbstractMicrobial fuel cells (MFCs) have attracted a great deal of attention as a promising technology for recovering electricity from organic substances by harnessing the metabolic activities of microorganisms. The objective of this study is to assess the efficacy of a LiTa0.5Nb0.5O3/g-C3N4 (LTN/g-C3N4) heterojunction as a photocathode catalyst within a single-chamber microbial fuel cell operating under both light irradiation and dark conditions. X-Ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), and Energy dispersive X-Ray spectroscopy (EDS) were used to conduct a comprehensive analysis of the composite catalyst, revealing its exceptional purity and unique properties. After 120 h of exposure to visible light, the maximal power density of the MFC containing LTN/g-C3N4-modified carbon cloth was determined to be 667.7 mW/m3. The power density achieved with the presence of light was approximately three times greater than the power density obtained without light in the MFC (235.64 mW/m3). In addition, the study determined that the removal efficiencies of chemical oxygen demand (COD) were 88.4% and 66.5% when exposed to light and in the absence of light, respectively. These findings highlight the potential of the non-precious LTN/g-C3N4 photocatalyst as a viable alternative for effective wastewater treatment and power generation in microbial fuel cells with a single chamber configuration.
Merging the Worlds of Pets and Pills: Development and Evaluation of an Interprofessional Activity Linking Pharmacy and Veterinary Medicine
Authors: Hoeft Morgan , Van Hooser Jared , Rupnow Nichole , Clarkson Christina 
Published: May 2024

AbstractInterprofessional education (IPE) is noticeably lacking between pharmacy and veterinary medicine students despite the two health professions overlapping in practice. To address this, an asynchronous IPE activity was developed together with practicing pharmacists and veterinarians. Students worked in groups across two campuses to discuss clinical cases, specifically requiring input from both professions. Students reported they learned more about the two professions’ interconnection, felt prepared to interact with the other professionals in the future, and found value in learning from each other. Overall, the results of this study outline a successful pilot IPE activity between veterinary medicine and pharmacy students.
A knowledge distillation based cross-modal learning framework for the lithium-ion battery state of health estimation
Authors: Xie Wei , Zeng Yuyu 
Published: May 2024

AbstractThe accurate prediction of a lithium-ion battery’s State of Health is of critical importance for efficient battery health management. Existing data-driven estimation methodologies grapple with issues such as high model complexity and a dearth of guidance from prior knowledge, which impose constraints on their efficacy. This work introduces a novel cross-modal distillation network for battery State of Health estimation, structured around a TransformerEncoder as the teacher network and a Convolutional Neural Network as the student network. Initially, the teacher model is pre-trained offline using State of Health degradation data to learn the degradation patterns. The directly measurable feature data (such as voltage, temperature, and current) is subsequently fed into the student network for online training and computation of a hard loss. the student network’s output is then directed into the pre-trained the teacher network to compute a soft loss, thereby offering prior knowledge of degradation laws and steering the optimization process of the student network. Rigorous experiments are conducted utilizing various datasets, with the outcomes validating the superior estimation accuracy and degradation rule adherence of the model. Notably, among five different models, this model demonstrates the best performance on almost all datasets, achieving an RMSE of 0.0097 and an MAE of 0.0065 on Cell1 of the Oxford dataset. Moreover, the model also demonstrates robust performance across different usage scenarios, inclusive of multi-battery estimation. Furthermore, this paper also introduces a fine tuning method for State of Health predictions only using the first half of the data. Comparative analysis with other models underscores the competitiveness of the proposed model, showcasing its potential for broader application.
RNA-Mediated Regulation of Glycolysis in Embryonic Stem Cell Pluripotency and Differentiation
Authors: Fan Wei , Li Xiaoling 
Published: May 2024

Abstract
Purpose of Review
The maintenance and differentiation of embryonic stem cells are strictly coordinated with their metabolic status. As a core part of cellular metabolism, glycolysis provides energy and biomolecules important for stem cell proliferation and functions. Particularly, the differentiation of embryonic stem cells is associated with metabolic shifts between glycolysis and oxidative phosphorylation. However, how these metabolic swifts are regulated is still not completely known. This review aims to highlight recent advances in regulation of glycolysis at different stages of embryonic stem cells.

Recent Findings
Through modulating glycolysis, multiple types of RNA molecules and RNA-binding proteins are critically involved in regulation of the self-renewal, pluripotency, and differentiation of embryonic stem cells.

Summary
RNA-mediated glycolytic regulation in embryonic stem cells is important for their maintenance and transitions between different stages of differentiation. Better understanding of these riboregulatory mechanisms will have potential for future research and therapeutic innovation.
Towards an Acoustically Accessible Campus: A Case Study of the Acoustic Conditions of an Australian University
Authors: Mealings Kiri , Miles Kelly , Matthews Nicole , Buchholz Joerg M. 
Published: May 2024

AbstractUniversity is an important stage of learning for students, so it is vital that higher education spaces are acoustically accessible to all and are places that promote equity and inclusion. The aim of this study was to measure the unoccupied noise levels and reverberation times of all of the classrooms in a typical Australian university to assess acoustic accessibility with a view to planning for a more accessible campus. A total of 166 classrooms were measured and categorised into good, ok, and poor classrooms according to the Macquarie University (MQU) Design Guidelines Review Performance Standards. Regarding unoccupied noise levels, 52% of classrooms were within the recommended < 35 dBA limit. Regarding reverberation times, 65% of classrooms were within the recommended 0.4–0.6 s limit. Finally, 40% of classrooms met both the noise level and reverberation time limit. The plans at the university to incorporate these findings to make the campus more acoustically accessible are discussed, as well as future research avenues so that all students and teachers can flourish.
Navigating contemporary challenges and future prospects in digital industry evolution
Authors: Gallab Maryam , Di Nardo Mario , Naciri Lina 
Published: May 2024

AbstractThe advent of the digital industry, also known as Industry 4.0 is a transformation period in manufacturing, where the integration of digital technologies with physical systems is underlined. This transformation is crucial for the pillars of cyber-physical systems (CPS), cyber resilience protection, and workers’ safety, which collectively from the cornerstone of Industry 4.0. Ensuring the secure exploitation of Industry 4.0’s advantages necessitates a dedicated focus on workers’ safety, cyber resilience protection, and the security and privacy of human-centric CPS systems. However, the full realization of Industry 4.0’s potential hinges upon effectively addressing these challenges and aligning the benefits of digitalization with the exigencies of worker well-being and safeguarding critical infrastructure. This study is a comprehensive literature review on this digital era, focusing on CPS, resilience, and workers’ safety. The review aims to summarise current research and advancements, offering insights for researchers, practitioners, and decision-makers. By identifying gaps in knowledge, the study lays the foundations for additional research and supports ongoing progress in the digital industry. Industry 4.0 embodies a new era of manufacturing integrating digital technologies with a focus on sustainability and human-centric design, supported by CPS, resilience, and worker’s safety. This necessitate addressing challenges to ensure benefits align with worker needs and infrastructure protection.
Good Statistical Monitoring: A Flexible Open-Source Tool to Detect Risks in Clinical Trials
Authors: Wu George , Childress Spencer , Wang Zhongkai , Roumaya Matt , Stern Colleen McLaughlin , Dickens Chelsea , Wildfire Jeremy 
Published: May 2024

Abstract
Background
Risk-based quality management is a regulatory-recommended approach to manage risk in a clinical trial. A key element of this strategy is to conduct risk-based monitoring to detect potential risks to critical data and processes earlier. However, there are limited publicly available tools to perform the analytics required for this purpose. Good Statistical Monitoring is a new open-source solution developed to help address this need.

Methods
A team of statisticians, data scientists, clinicians, data managers, clinical operations, regulatory, and quality compliance staff collaborated to design Good Statistical Monitoring, an R package, to flexibly and efficiently implement end-to-end analyses of key risks. The package currently supports the mapping of clinical trial data from a variety of formats, evaluation of 12 key risk indicators, interactive visualization of analysis results, and creation of standardized reports.

Results
The Good Statistical Monitoring package is freely available on GitHub and empowers clinical study teams to proactively monitor key risks. It employs a modular workflow to perform risk assessments that can be customized by replacing any workflow component with a study-specific alternative. Results can be exported to other clinical systems or can be viewed as an interactive report to facilitate follow-up risk mitigation. Rigorous testing and qualification are performed as part of each release to ensure package quality.

Conclusions
Good Statistical Monitoring is an open-source solution designed to enable clinical study teams to implement statistical monitoring of critical risks, as part of a comprehensive risk-based quality management strategy.
Numerical approximation of the typhoid disease model via Genocchi wavelet collocation method
Authors: Manohara G. , Kumbinarasaiah S. 
Published: May 2024

AbstractIn this paper, we have considered the fractional typhoid disease model and obtained the numerical approximation of the model via the innovative wavelet scheme called the Genocchi wavelet collocation method (GWCM) with the help of Caputo fractional derivative for the fractional order. The approach under consideration is a powerful tool for obtaining numerical solutions to fractional-order nonlinear differential equations. The GWCM approach yields accurate solutions that are very close to exact solutions for highly nonlinear problems by avoiding data rounding and just computing a few terms. The Genocchi wavelet basis functions possess remarkable properties, including compact support, making them well-suited for approximating solutions to differential equations. The main benefit of this method lies in its capability to reduce the computational complexity associated with solving systems of ODEs, resulting in accurate and efficient solutions. The results of the developed technique, the RK4 method, and the ND solver have been compared. The numerical outcomes demonstrate that the implemented technique is incredibly effective and precise for solving the Typhoid model of fractional order. This paper contributes to numerical analysis by introducing the Genocchi wavelet method as a robust tool for solving biological models.
A proposed dietary policy package for the health sector in Iran
Authors: Amerzadeh Mohammad , Takian Amirhossein , Pouraram Hamed , Akbari Sari Ali , Ostovar Afshin 
Published: May 2024

Abstract
Background
Insufficient physical inactivity and an unhealthy diet are significant health risk factors globally. Dietary risk factors were responsible for approximately 16.5% of all deaths in Iran in 2019. This paper aimed to propose a dietary policy package for the health sector to reduce the risk of an unhealthy diet, which might effectively help prevent and control non-communicable diseases (NCDs) in Iran.

Methods
In this qualitative study, we conducted semi-structured, face-to-face, and in-depth interviews with 30 purposefully selected experts, including policymakers, high-level managers, and relevant stakeholders, during 2018–2019 in Iran. All interviews were digitally recorded, transcribed verbatim, and thematically analyzed, facilitated by MAXQDA 11 software.

Results
We developed several dietary recommendations for different stakeholders. These include traffic light labeling reforms, i.e., the need to make the signs large and readable enough through utilizing advanced technology, cooperation with other sectors, promoting healthy symbols and supporting food products with them, food basket reforms, updating dietary standards, adopting appropriate mechanisms to report violations of harmful products laws, scaling up mechanisms to monitor restaurants and processed foods, and creating an environment for ranking restaurants and other relevant places to support a healthy diet, for instance through tax exemption, extra subsidies for healthy products, Non-Government Organizations (NGOs) alliances, and using influential figures.

Conclusion
Iran’s health sector has developed a practical roadmap for the prevention and control of NCDs through promoting healthy nutrition. In line with the sustainable development goal (SDG) 3.4 pathway to reduce premature mortality due to NCDs by 30% by 2030 in Iran, we advocate for the Ministry of Health and Medical Education (MoHME) to adopt appropriate evidence-informed interventions for improving public health literacy and reducing consumption of unhealthy food.
The implication of standard units of weights and measures on small-holder farmers maize productivity and welfare in Ruvuma Region, Tanzania
Authors: Kemirembe Donata , Katikiro Robert Eliakim , Mbwana Maliwaza 
Published: May 2024

AbstractThe accurate measurement of agricultural productivity and its consequential effects on the welfare of farmers plays a pivotal role in economies heavily dependent on agriculture. This study delves into the repercussions of employing standard weights and measures on both productivity and welfare in the Ruvuma Region of Tanzania. Employing a cross-sectional design, primary data were collected from 557 households selected at random from six districts within Ruvuma region. Utilizing negative binomial and multiple regression models, the study scrutinizes the impact of standard weights and measures on maize productivity and farmer welfare. The findings elucidate a noteworthy correlation between the adoption of standard units and amplified maize productivity and cash income. Farmers utilizing standard measurements in maize transactions exhibited a 19.5% higher yield per acre and a 14.5% improvement in welfare compared to those adhering to traditional measuring methods. Influential factors such as sex, the quantity of maize produced, and land size significantly influenced the adoption of standard units. Recommending empowerment initiatives through government agencies and pertinent organizations, this study advocates for targeted training and sensitization to redirect small-holder farmers from traditional measuring practices. Such endeavours align with Sustainable Development Goal 2, contributing to the overarching aim of achieving zero hunger by 2030.