bluuebunny/crossref_metadata_2025_split huggingface dataset:
Generative adversarial networks for whispered to voiced speech conversion: a comparative study
Authors: Wagner Dominik , Baumann Ilja , Bocklet Tobias 
Published: October 2024

AbstractGenerative Adversarial Networks (GANs) have demonstrated promising results as end-to-end models for whispered to voiced speech conversion. Leveraging non-autoregressive systems like GANs capable of performing conditional waveform generation eliminates the need for separate models to estimate voiced speech features, and leads to faster inference compared to autoregressive methods. This study aims to identify the optimal GAN architecture for the whispered to voiced speech conversion task by comparing six state-of-the-art models. Furthermore, we present a method for evaluating the preservation of speaker identity and local accent, using embeddings obtained from speaker- and language identification systems. Our experimental results show that building the speech conversion system based on the HiFi-GAN architecture yields the best objective evaluation scores, outperforming the baseline by $$\sim$$
∼
9% relative using frequency-weighted Signal-to-Noise Ratio and Log Likelihood Ratio, as well as by $$\sim$$
∼
29% relative using Root Mean Squared Error. In subjective tests, HiFi-GAN yielded a mean opinion score of 2.9, significantly outperforming the baseline with a score of 1.4. Furthermore, HiFi-GAN enhanced ASR performance and preserved speaker identity and accent, with correct language detection rates of up to $$\sim$$
∼
98%.
An Assessment of an Inpatient Robotic Nurse Assistant: A Mixed-Method Study
Authors: Lim Yee Wei , Tan Shi Wei , Tan Cherylanne Yan Bing , Lee Dong Hee Michael , Siow Wen Ting , Heng Doreen Gek Noi , Mukhopadhyay Amartya , Lim Joo Cheng , Sivadas Sunil , Teo Ee Lin Kimberly , Ho Lawrence Khek Yu , Phua Jason 
Published: October 2024

Abstract
The worldwide nursing shortage has led to the exploration of using robotics to support care delivery and reduce nurses’ workload. In this observational, mixed-method study, we examined the implementation of a robotic nurse assistant (RNA) in a hospital ward to support vital signs measurements, medication, and item delivery. Human–robot interaction was assessed in four domains: usability, social acceptance, user experience, and its societal impact. Patients in a general medicine ward were recruited to participate in a one-time trial with the RNA and a post-trial 75-question survey. Patients’ interactions with the RNA were video recorded for analysis including patients’ behaviours, facial emotions, and visual attention. Focus group discussions with nurses elicited their perceptions of working with the RNA, areas for improvement, and scalability. Sixty-seven patients aged 21–79 participated in the trial. Eight in 10 patients reported positive interactions with the RNA. When the RNA did not perform to expectations, only 25% of patients attributed fault to the RNA. Video analysis showed patients at ease interacting with the RNA despite some technical problems. Nurses saw potential for the RNA taking over routine tasks. However, they were sceptical of real time savings and were concerned with the RNA’s ability to work well with older patients. Patients and nurses suggested greater interactivity between RNA and patients. Future studies should examine potential timesaving and whether time saved translated to nurses performing higher value clinical tasks. The utility of improved RNA’s social capability in a hospital setting should be explored as well.
Observation of an Extraordinary Type V Solar Radio Burst: Nonlinear Evolution of the Electron Two-Stream Instability
Authors: Benz Arnold O. , Huber Clemens R. , Timmel Vincenzo , Monstein Christian 
Published: October 2024

AbstractSolar type V radio bursts are associated with type III bursts. Several processes have been proposed to interpret the association, electron distribution, and emission. We present the observation of a unique type V event observed by e-CALLISTO on 7 May 2021. The type V radio emission follows a group of U bursts. Unlike the unpolarized U bursts, the type V burst is circularly polarized, leaving room for a different emission process. Its starting edge drifts to higher frequency four times slower than the descending branch of the associated U burst. The type V processes seem to be ruled by electrons of lower energy. The observations conform to a coherent scenario where a dense electron beam drives the two-stream instability (causing type III emission) and, in the nonlinear stage, becomes unstable to another instability, previously known as the electron firehose instability (EFI). The secondary instability scatters some beam electrons into velocities perpendicular to the magnetic field and produces, after particle loss, a trapped distribution prone to electron cyclotron masering (ECM). A reduction in beaming and the formation of an isotropic halo are predicted for electron beams continuing to interplanetary space, possibly observable by Parker Solar Probe and Solar Orbiter.
Papillary Thyroid Carcinoma with Fibromatosis/Fasciitis-Like/Desmoid-Type Stroma: Case Report of a Rare Subtype with Cytological and Molecular Study
Authors: Benghashir Hosamadean , Petkar Mahir , Goyal Rajen 
Published: October 2024

Abstract
Background
Papillary thyroid carcinoma (PTC) with fibromatosis/fasciitis-like/desmoid-type stroma is a rare subtype of PTC,characterized by two distinct components: a classic papillary carcinoma component and a spindle cell proliferationresembling fibromatosis or nodular fasciitis. This stromal component adds a unique dimension to the tumor'spathology, making diagnosis more challenging and potentially leading to misclassification.

Case presentation
We present a case of this rare entity which contributes to the growing body of literature by providing additionalmolecular data, which may shed light on the biological behaviour of the fibromatosis-like stroma and its relationshipwith the papillary carcinoma component. This case underscores the importance of recognizing this subtype, as itsspindle cell proliferation could be mistaken for a separate neoplasm or reactive process, resulting in inappropriatemanagement.

Conclusions
Increased awareness of this entity will help pathologists avoid diagnostic pitfalls and guide clinicians in developingmore precise treatment plans, addressing both the malignant papillary component and the unique stromal features.This case further enriches the current understanding of the heterogeneity of PTC and highlights the need fortailored management strategies in rare subtypes.
Machinability Performance of Single Coated and Multicoated Carbide Tools During Turning Ti6Al4V Alloy
Authors: Ali Ahsen , Younas Muhammad , Khan Mushtaq , Jaffery Syed Husain Imran , Khan Zarak 
Published: October 2024

AbstractThis paper presents the machinability performance of uncoated, single-coated, and multicoated carbide tools during turning of Grade 5 (Ti6Al4V) Titanium alloy, which is challenging to machine due to its distinctive material properties. Coated tools with single-coated Titanium Aluminium Nitride (TiAlN) and multi-coated layer of Titanium Aluminium Nitride with Aluminium Chromium Nitride (TiAlN + AlCrN) coated inserts were utilized to assess surface roughness (Ra), tool wear rate (R), and chip morphologies under various cutting conditions using dry machining. Analysis of the used tools revealed that coated tools exhibited improved tool life and surface quality compared to uncoated tools across all cutting conditions. Multi-coated tools of TiAlN + AlCrN demonstrated a tool life increase of up to 15% compared to uncoated and single-coated tools, with surface roughness improvements ranging from 30 to 45% depending on cutting speed. Chip morphology analysis indicated an increase in the chip reduction coefficient with higher cutting speeds for all tool types. Coated tools exhibited the lowest chip-reduction coefficient due to the presence of TiAlN and AlCrN coatings, which control the tool chip contact length. Conversely, uncoated chip morphology resulted in larger chip thickness values compared to coated tools, particularly at cutting speeds above 100 m/min, attributed to poor heat dissipation and chemical reactions at the tool chip interface. Energy dispersive X-ray scanning electron microscopy (SEM/EDXS) analysis of worn uncoated inserts revealed a higher tendency towards Titanium adhesion compared to coated tools. The proposed multi-layer coatings of (TiAlN + AlCrN) used for dry machining proved highly beneficial for achieving economic machining objectives and may reduce the need for lubrication when processing Ti6Al4V alloys.
Singular and dark-singular straddled solitons in magneto-optic waveguides with generalized anti-cubic form of self-phase modulation
Authors: Jawad Anwar Ja’afar Mohamad , Yildirim Yakup , Hussein Layth , Biswas Anjan , Rawal Bharat 
Published: October 2024

AbstractThis paper recovers optical soliton solutions in magneto-optic waveguides that maintain the generalized version of anti-cubic form of nonlinear self-phase modulation structure. The csch method as well as the tanh–coth approach recovers the singular and dark-singular straddled optical solitons in such forms of magneto-optic waveguide. The existence criteria of such solitons are also presented.
On the Hardy number of Koenigs domains
Authors: Contreras Manuel D. , Cruz-Zamorano Francisco J. , Kourou Maria , Rodríguez-Piazza Luis 
Published: October 2024

AbstractThis work studies the Hardy number of hyperbolic planar domains satisfying Abel’s inclusion property, which are usually known as Koenigs domains. More explicitly, we prove that the Hardy number of a Koenings domains whose complement is non-polar is greater than or equal to 1/2, and this lower bound is sharp. In contrast to this result, we provide examples of general domains whose Hardy numbers are arbitrarily small. Additionally, we outline the connection of the aforementioned class of domains with the discrete dynamics of the unit disc and obtain results on the range of Hardy number of Koenigs maps, in the hyperbolic and parabolic case.
A Global Estimation of Potential Climate Change Effects on Pollinator-Dependent Crops
Authors: Rahimi Ehsan , Jung Chuleui 
Published: October 2024

AbstractClimate change poses a threat to global food security by significantly affecting agricultural products, both directly and indirectly. This study aims to assess the impact of climate change on the climate suitability of 61 pollinator-dependent crops worldwide under different climate change scenarios. Utilizing species distribution models (SDMs), we predicted climate suitability maps for these crops in the present and projected conditions for 2070. Our findings indicate that under the most pessimistic climate change scenario in 2070 (SSP585), 16, 31, 34, 29, 29, and 31 crops in Africa, Asia, Australia, Europe, North America, and South America, respectively, may experience a decrease in their suitable habitats. On average, crops in Africa, Asia, Australia, Europe, North America, and South America are expected to see a decrease of − 14.5%, − 11.2%, − 26.2%, − 4.7%, 5.5%, and − 14.4% in their suitability by 2070. Regional variations in the effects of climate change on crops highlight the vulnerability of certain areas, particularly Australia, where a substantial number of crops face a decline in suitable habitats. Conversely, North America may witness an increase in the distribution of specific products. Urgent action is needed to mitigate and adapt to the impacts of climate change, including the development of more resilient crop varieties and improvements in agricultural practices, especially for highly vulnerable pollinator-dependent crops in Asia and Africa.
Competing strategies between public and private self: separation and diffusion of the entrepreneurial identity of solo entrepreneurs on social media
Authors: Bögenhold Dieter , Sawy Alina 
Published: October 2024

AbstractSocial media are gaining significance in organizations and their business strategies. Therefore, the self-presentation of solo entrepreneurs on social media requires a strategic analysis and concept due to their specific business structure. Solo entrepreneurs work on their own without having any employees in their company. In other words, they stay as the personification of a one-(wo)man-firm. The business structure of solo entrepreneurs is particular since they operate in the most decentralized form of a firm, which is a one-person firm. In some way, solo entrepreneurs can be regarded as independent (self-employed) laborers. When presenting themselves online, they must decide which characteristics of the private self should be emphasized and which should be incorporated into the entrepreneurial identity to be useful to the business. Our qualitative study conducted twelve semi-structured interviews with solo entrepreneurs to understand how they present themselves on social media and how the solo entrepreneur offered online differs from the private self. We have found that there are features of the personal self that are kept strictly out of the entrepreneurial sphere, but there are areas that make a mix of personal and entrepreneurial selves. Our results help to understand the group of solo entrepreneurs and their unique characteristics in an increasingly important field of digital media.
Young Black Women’s Breast Cancer Knowledge and Beliefs: A Sequential Explanatory Mixed Methods Study
Authors: Ilodianya Chinenye , Williams Michelle S. 
Published: October 2024

Abstract
Introduction
Black women under the age of 50 have a 111% higher breast cancer mortality rate than their White counterparts. The breast cancer mortality disparities among young Black women may be due in part to the fact that they are more likely to be diagnosed with late-stage, invasive breast cancer tumors. Psychosocial factors, such as lack of perceived risk for breast cancer, lack of awareness of breast cancer risk factors, and ambiguity about breast cancer screening guidelines are areas that are under investigated among young Black women. The purpose of this study was to identify young Black women’s cancer beliefs and level of breast cancer risk knowledge.

Methods
A sequential explanatory mixed methods study was conducted using quantitative data from the Health Information Trends Survey 6 (HINTS 6) (n = 25) and qualitative data from interviews with young Black female college students (n = 13). The results of the quantitative data analysis were used to guide the development of the qualitative interview guide. Data regarding participants’ cancer beliefs, cancer risk factor knowledge, perceived cancer risk, and ambiguity about cancer screening behaviors were analyzed.

Results
The findings indicated young Black women have low perceived risk of developing cancer. Most participants were not aware of cancer recommendations that were targeted towards women under the age of 40. In addition, knowledge about lifestyle behavior risk factors for breast cancer was relatively low.

Conclusion
Our findings underscore the importance of developing, disseminating, and implementing breast cancer education interventions that are targeted towards young Black women.
Assessing the influence of the home on sustaining churchgoing among young Baptists in Canada: a replication study
Authors: Francis Leslie J. , MacArthur Amy Lean , McKenna Ursula , Fawcett Bruce G. , Pyke Dan 
Published: October 2024

AbstractThis paper explores the influence of the home on sustaining churchgoing among young Baptists in Canada. Data provided by 126 young Baptists between the ages of 12 and 18 years attending a week-long youth mission and service programme demonstrated that neither personal factors (age and sex) nor psychological factors (extraversion, sensing, thinking, and emotionality) were statistically significant after taking parental church attendance into account. Moreover, these data confirmed fathers' attendance as a statistically significant factor augmenting the effect of mothers’ attendance. The implications of these findings are discussed for pastoral practice. Within the current social context, churches concerned with recruiting and retaining young members may need to concentrate on nurturing and resourcing Christian households (including fathers as well as mothers) in supporting the religious faith and practices of their children. The support and example of both mothers and fathers is important for boys and for girls across the teenage years.
Rechts erziehen
Authors: Gess Nicola 
Published: October 2024

Zusammenfassung
Der Beitrag widmet sich der Schnittmenge zwischen Literaturpolitik und Erziehungsvorstellungen der deutschsprachigen Neuen Rechten. Am Beispiel zweier Autorinnen aus dem Antaios-Umfeld beschäftigt er sich im ersten Teil mit neurechten Erziehungskonzepten und im zweiten Teil mit neurechter Literaturpädagogik, mimetischer Lektüre und der Figur der lesenden Mutter.
La-Fe-Si magnetocaloric composite with anisotropic microstructure prepared by hot pressing
Authors: Shao Yanyan , Cheng Siyu , Guo Pengwei , Xu Feng 
Published: October 2024

AbstractIn this study, we have proposed an anisotropic microstructure in La-Fe-Si magnetocaloric composites for thermal management. This is vital to the rapid heat exchange and high working efficiency in magnetic refrigerator system. We demonstrate the anisotropic microstructure in composites can be fabricated via powder metallurgy in this work. By adjusting the particle size of the 1:13 phase, the introduced reinforcing phase with rheological property can effectively deform and anisotropic microstructure can be obviously observed. This can be attributed to the tailored stress distribution in cubic-anvil-type pressure apparatus. The element diffusion between the two phases was also discussed in this paper, taking into account the influence of particle size. Such anisotropic microstructure causes some other anisotropic physical properties in the composite, such as mechanical strength. The compressive measurements along the axial direction exhibit superior mechanical properties (~ 3.5% for strain and ~ 350 MPa for strength) compared to those along the radial direction. Attributed to the stress buffer-effect provided by the introduced ductile phase, magnetocaloric effect (magnetic entropy change ~ 7.8 J/kg K) can be maintained in the La-Fe-Si composite.
Wood-based biochars produced at low pyrolysis temperatures are good carriers for a Trichoderma-based biopesticide
Authors: Debode Jane , Viaene Jarinda , Maenhout Kristof , Joos Lisa , França Soraya C. , Cuypers Ann , Vandecasteele Bart 
Published: October 2024

AbstractThe goal was to investigate biochars’ potential as carrier for commercial Trichoderma-based biopesticides, facilitating their application in soil or growing media. Thirty-five biochars produced from various feedstocks and pyrolysis temperatures were chemically characterized. Incubation and cold storage tests using a commercial Trichoderma-based biopesticide were done. Properties leading to good Trichoderma carrier capacity (TCC) are wood-based feedstocks and low pyrolysis temperatures (p < 0.001). Multivariate linear regression showed that TCC = exp (23.0 (± 2.21)–1.03 (± 0.25) *pH-H2O–0.94 (± 0.32) *inorganic carbon–0.10 (± 0.02) *total phosphorus + 0.0005 (± 0.0002) *water-soluble carbon).
Graphical Abstract
Review on Application of Sustainability, Circular and Digital Economy on Bioplastics Production
Authors: Senosha Maphuti Pinkie , Matheri Anthony Njuguna , Mohamed Belaid 
Published: October 2024

AbstractDigitalization is creating and driving a sustainable data driven production and consumption of materials and energy. The goal of this research was to outline circular economy and employ machine learning algorithms in the industry 4.0-environmental social and governance (ESG) for the bioplastic properties. The paper review sustainability, circular and digital economy and potential of biomasses on bioplastics production, tensile strength and degradation. Sustainability and circular economy are very crucial to adaptation and mitigation of climate change and social-economic responsibilities of the environmental and human health. It was found that most studies covered sustainability, few embed circular and digital economy. It was important to investigate the end-of life of a product, to know its effect to the environment and human health. There were limited studies on bioplastics production with the digital economy. It was discovered that machine learning approaches have the potential to improve quality control and optimization in industrial processes.
A data-driven regression model for predicting thermal plant performance under load fluctuations
Authors: Prokhorskii Gleb , Rudra Souman , Preißinger Markus , Eder Elias 
Published: October 2024

AbstractThe global energy demand is still primarily reliant on fossil-fueled thermal power plants. With the growing share of renewables, these plants must frequently adjust their loads. Maintaining, or ideally increasing operational efficiency under these conditions is crucial. Increasing the efficiency of such systems directly reduces associated greenhouse gas emissions, but it requires sophisticated models and monitoring systems. Data-driven models have proven their value here, as they can be used for monitoring, operational state estimation, and prediction. However, they are also sensitive to (1) the training approach, (2) the selected feature set, (3) and the algorithm used. Using operational data, we comprehensively investigate these model parameters for performance prediction in a thermal plant for process steam generation. Specifically, four regression algorithms are evaluated for the prediction of the highly fluctuating live steam flow with two training approaches and three feature subsets of the raw dataset. Furthermore, manual and automatic clustering methods are used to identify different states of operation regarding the fuel amounts used in the combustion chamber. Our results show that the live steam flow is predicted with excellent accuracy for a testing period of one month (R2=0.994 and NMAE=0.55%) when using a dynamic training approach and a comprehensive feature set comprised of 48 features representing the combustion process. It is also seen that the statically trained model predicts various load changes with strong accuracy and that the accuracy of the dynamically trained model can be approached by incorporating the cluster information into the static model. These models reflect the plant’s physical intricacies under varying loads, where deviations from the predicted live steam flow indicate unwanted long-term drifts. They can be directly implemented to help operators detect inefficiencies and optimize plant performance.