bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genome-wide DNA methylation and gene expression in human placentas derived from assisted reproductive technology
Authors: Auvinen Pauliina , Vehviläinen Jussi , Rämö Karita , Laukkanen Ida , Marjonen-Lindblad Heidi , Wallén Essi , Söderström-Anttila Viveca , Kahila Hanna , Hydén-Granskog Christel , Tuuri Timo , Tiitinen Aila , Kaminen-Ahola Nina 
Published: December 2024

Abstract
Background
Assisted reproductive technology (ART) has been associated with increased risks for growth disturbance, disrupted imprinting as well as cardiovascular and metabolic disorders. However, the molecular mechanisms and whether they are a result of the ART procedures or the underlying subfertility are unknown.

Methods
We performed genome-wide DNA methylation (EPIC Illumina microarrays) and gene expression (mRNA sequencing) analyses for a total of 80 ART and 77 control placentas. The separate analyses for placentas from different ART procedures and sexes were performed. To separate the effects of ART procedures and subfertility, 11 placentas from natural conception of subfertile couples and 12 from intrauterine insemination treatments were included.

Results
Here we show that ART-associated changes in the placenta enriche in the pathways of hormonal regulation, insulin secretion, neuronal development, and vascularization. Observed decreased number of stromal cells as well as downregulated TRIM28 and NOTCH3 expressions in ART placentas indicate impaired angiogenesis and growth. DNA methylation changes in the imprinted regions and downregulation of TRIM28 suggest defective stabilization of the imprinting. Furthermore, downregulated expression of imprinted endocrine signaling molecule DLK1 associates with both ART and subfertility.

Conclusions
Decreased expressions of TRIM28, NOTCH3, and DLK1 bring forth potential mechanisms for several phenotypic features associated with ART. Our results support previous procedure specific findings: the changes associated with growth and metabolism link more prominently to the fresh embryo transfer with smaller placentas and newborns, than to the frozen embryo transfer with larger placentas and newborns. Furthermore, since the observed changes associate also with subfertility, they offer a precious insight to the molecular background of infertility.
Weight illusions explained by efficient coding based on correlated natural statistics
Authors: Bays Paul M. 
Published: December 2024

AbstractIn our everyday experience, the sizes and weights of objects we encounter are strongly correlated. When objects are lifted, visual information about size can be combined with haptic feedback about weight, and a naive application of Bayes’ rule predicts that the perceived weight of larger objects should be exaggerated and smaller objects underestimated. Instead, it is the smaller of two objects of equal weight that is perceived as heavier, a phenomenon termed the Size-Weight Illusion (SWI). Here we provide a normative explanation of the SWI based on principles of efficient coding, which dictate that stimulus properties should be encoded with a fidelity that depends on how frequently those properties are encountered in the environment. We show that the precision with which human observers estimate object weight varies as a function of both mass and volume in a manner consistent with the estimated joint distribution of those properties among everyday objects. We further show that participants’ seemingly “anti-Bayesian” biases (the SWI) are quantitatively predicted by Bayesian estimation when taking into account the gradient of discriminability induced by efficient encoding. The related Material-Weight Illusion (MWI) can also be accounted for on these principles, with surface material providing a visual cue that changes expectations about object density. The efficient coding model is further compatible with a wide range of previous observations, including the adaptability of weight illusions and properties of “non-illusory” objects. The framework is general and predicts perceptual biases and variability in any sensory properties that are correlated in the natural environment.
Work-Related Physical Discomfort and Ergonomics Among Speech-Language Pathologists Performing Flexible Endoscopic Evaluations of Swallowing
Authors: Keltz Andrew , Leydon Ciara , Vernarelli Jacqueline A. , Livecchi Danielle , Lerner Michael Z. 
Published: December 2024

Purpose:
Flexible endoscopic evaluation of swallowing (FEES) is a common component of a comprehensive dysphagia assessment. Endoscopy-related musculoskeletal symptoms resulting from clinician, environment, or equipment factors have been reported among health care professionals. The purpose of this work was to uncover the prevalence and nature of physical discomfort among speech-language pathologists (SLPs) who perform FEES. Investigators also explored SLPs' strategies to reduce endoscopy-related discomfort and their perceived benefit of ergonomics training.

Method:
A survey was distributed electronically to SLPs to gather information about demographics, work environment, FEES practice, ergonomics, and physical discomfort. Data were analyzed using logistic regression and Spearman rank correlations.

Results:
One hundred sixty SLPs who conduct FEES completed the survey. The majority of participants (73%) experienced physical discomfort, at least sometimes, when performing FEES, most notably in the shoulder, back, and neck. Participants who reported suboptimal ergonomics demonstrated fivefold increased odds of experiencing discomfort, indicating insight into physical challenges. Participants with fewer years of experience, less frequent ability to achieve optimal positioning, and increased frequency of physical discomfort were more likely to anticipate benefit from training.

Conclusions:
Physical discomfort was common and was not predicted by demographics, work environment, years of FEES practice, or dose. Further studies are needed to identify factors that predict discomfort and strategies to support comfort and well-being.
Research on influence of double energy absorptions on dynamic volt‐ampere characteristics of metal oxide varistors
Authors: Long Chen , Wu Yifei , Wu Yi , Rong Mingzhe , Xiao Yu , Bai Yunfan 
Published: December 2024

AbstractMetal oxide varistors (MOVs) are extensively employed in DC circuit breakers (DCCBs) to suppress overvoltage, dissipate energy and build up voltage after interruption. Despite their widespread use, the performance of MOVs under short‐time, double energy absorption conditions is not well understood, posing a challenge to their application in open‐close‐open (OCO) operations of DCCBs. In this paper, a MOV double energy absorption test platform is established to investigate the deviation in volt‐ampere characteristic. The Fréchet distance is proposed as the criterion for assessing the similarity of MOV dynamic volt‐ampere characteristics, and the influencing factors are studied. It is observed that a 15% increase in the absorption of rated energy may result in roughly 20‐unit rise in the Fréchet distance. Furthermore, the deviation in volt‐ampere characteristics during the second pulse is found to be independent of the time interval, affirming that the OCO operation within 300 ms constitutes an adiabatic process. The excursion of the volt‐ampere characteristics is dominated by the energy and remains unaffected by the peak current of the initial pulse. These findings lay the foundation for the subsequent MOV dynamic characteristic balance test and model modification.
ELoran signal message recognition algorithm based on GTCN‐transformer
Authors: Zhang Kai , Yang Fan , Wang Weidong , Wang Bingqian 
Published: December 2024

AbstractThe Enhanced Long Range Navigation (eLoran) system serves as a crucial backup to the Global Navigation Satellite System (GNSS), leveraging advantages, such as low signal frequency, high transmitter power, and stable propagation distance. However, the prevailing demodulation techniques employed by the eLoran system, which are largely based on conventional digital signal processing, are susceptible to substantial inaccuracies when confronted with intense interference and complex environmental conditions. This paper introduces a novel GTCN‐Transformer network designed for the specific task of recognising message in eLoran pulse group signal. The network is constructed by enhancing the architecture of Temporal Convolutional Networks (TCN) and integrating the Transformer mechanism. In order to extract significant features from the pulse group signal, a sequence dataset was obtained by using cepstral analysis. Subsequently, the GTCN‐Transformer network is deployed to recognise the message contained within the eLoran pulse group signal. The experimental results demonstrate that the GTCN‐Transformer network achieves a recognition accuracy of over 95% for eLoran signal message information when the SNR exceeds 10 dB, even in the presence of sky‐wave and cross‐interference signals. Moreover, a comparative analysis with recurrent neural network (RNN) reveals that the GTCN‐Transformer network outperforms these architectures in terms of recognition accuracy.
A Bayesian approach to the halo galaxy – supermassive black hole connection through cosmic time
Authors: Boettner C. , Trebitsch M. , Dayal P. 
Published: December 2024

Aims. The evolution of dark matter halos, galaxies, and supermassive black holes are deeply interdependent. We study whether this co-evolution can be qualitatively understood by connecting the evolution of a dark matter structure with simple empirical prescriptions for baryonic processes.
Methods. We established expressions for the (star-forming) galaxy stellar mass function, galaxy UV luminosity function, active black hole mass function, and quasar bolometric luminosity function by assuming a direct and physically motivated relationship between the properties of galaxies and supermassive black holes, and the mass of their host halo. We calibrated the baryonic prescriptions using a fully Bayesian approach to reproduce observed population statistics. The derived parameterisations were then utilised to investigate the connection between galaxy and black hole characteristics and how these characteristics change with redshift.
Results. The galaxy stellar mass – UV luminosity relation, black hole mass – stellar mass relation, black hole mass – AGN luminosity relation, and redshift evolution of these quantities obtained from the model are qualitatively consistent with observations. Based on these results, we present upper limits on the expected number of sources for z = 5 up to z = 15 for scheduled JWST and Euclid surveys, thus showcasing that empirical models can offer qualitative predictions at a high redshift in a fast, easy, and flexible manner that complements more computationally expensive approaches.
Aqueous Mixtures of Deep Eutectic Solvents: Tuning the Reaction Medium and Photocatalyst for Highly Selective Amine Oxidation
Authors: Kare Varsha S. , Tiwari Shraeddha S. 
Published: December 2024

AbstractHarvesting light as a source of energy for driving chemical processes is an important aspect of tacking the looming energy crisis. The challenge lies in making the process sustainable while retaining the efficiency and selectivity. In this work, deep eutectic solvents and their aqueous mixtures are used to replace acetonitrile as the reaction medium for the photocatalyzed amine oxidation. It is observed that the use of deep eutectic solvents as reaction media leads to >90% conversion but presents issues with efficient workup due to high viscosity. The use of water a cosolvent mitigates the issue. Further modification of the catalyst surface with alizarin enables the use of higher water content (in a 1:1 ratio) and leads to high conversion (>90%) at one-tenth of irradiation intensity. The high yield and selectivity eliminate the need for tedious purification steps to isolate the product. Control experiments indicate cooperative contributions by TiO2, 2,2,6,6-tetramethylpiperidin-1-yl)oxyl (TEMPO), and alizarin as mechanistic factors responsible for the enhanced reactivity.
Current trend and future research agenda for technological innovation in higher education institutions
Authors: Arviansyah Muhammad Rifqi , Azis Yudi , Sondari Mery Citra , Harsanto Budi 
Published: December 2024

AbstractTechnological innovation is significantly impacting Higher Education Institutions (HEI). In the Google Scholar database, over 3 million literature are available, but only a few articles discuss the review of technological innovation, especially in the HEI context. Therefore, this research aims to determine current trends and future opportunities using a planning-search-data organisation and analysis procedure. Descriptive and bibliometric analyses are conducted with a scoping review of 662 documents from the Scopus electronic database. The result shows that the research trend in this area is uptrend. Most of the literature discusses engineering education, e-learning, and educational innovation. Future research should be conducted in the areas of learning, technology development, intellectual capital, and technological innovation impact.
A technology-enabled collaborative learning model (Project ECHO) to upskill primary care providers in best practice pain care
Authors: De Morgan Simone , Walker Pippy , Blyth Fiona M. , Daly Anne , Burke Anne L. J. , Nicholas Michael K. 
Published: December 2024

Background The South Australian (SA) Chronic Pain Extension for Community Healthcare Outcomes (ECHO) Network was established to upskill primary care providers in best practice pain care aligned to a patient-centred, biopsychosocial approach using didactic and case-based virtual mentoring sessions. The aims of this study were to assess: (a) participation, satisfaction (relevance, satisfaction with format and content, perceptions of the mentorship environment), learning (perceived knowledge gain, change in attitudes), competence (self-confidence) and performance (intention to change practice, perceived practice change) of the ECHO Network clinician participants; and (b) self-perceived barriers at the clinical, service and system level to applying the learnings. Methods A mixed methods, participatory evaluation approach was undertaken. Data sources included analysis of program records (learning needs assessment, enrolment survey data, program participation data and online surveys of healthcare professionals including a satisfaction survey after each ECHO session (n = 106 across the ECHO series of 10 sessions; average response rate = 46%), a case presenters survey (n = 7, response rate = 78%) and an outcome survey after all 10 ECHO sessions (n = 11, response rate = 25%). Results Forty-four healthcare professionals participated in the ECHO Network from a range of career stages and professional disciplines (half were general practitioners). One-third of participants practised in regional SA. Participants reported that the ECHO sessions met their learning needs (average = 99% across the series), were relevant to practice (average = 99% across the series), enabled them to learn about the multidisciplinary and biopsychosocial approach to pain care (average = 97% across the series) and provided positive mentorship (average = 96% across the series). Key learnings for participants were the importance of validating the patient experience and incorporating psychological and social approaches into pain care. More than one-third of participants (average = 42% across the series) identified barriers to applying the learnings such as limited time during a consultation and difficulty in forming a multidisciplinary team. Conclusions The ECHO Network model was found to be an acceptable and effective interdisciplinary education model for upskilling primary care providers in best practice pain care aligned to a patient-centred, biopsychosocial approach to pain managment. However, participants perceived barriers to translating this knowledge into practice at the clinical, service and system levels.
Language learning, desire, and global power dynamics
Authors: Ishige Aika 
Published: December 2024

Abstract
Drawing on the concepts of desire from applied linguistics and Deleuzian perspectives, this study investigates the desires encapsulated in a Japanese woman’s English learning sojourn in the Philippines. Data were collected using an open-ended questionnaire and through two semi-structured interviews. The participant’s retrospective narrative provides insight into her perceptions of the Philippines compared to Canada. While previous research has primarily examined the sociolinguistic aspects of studying abroad in the Philippines, the current study expands this focus to encompass other dimensions, such as material factors. The findings illuminate how the Philippines, as a study-abroad destination, is experienced and remembered by students. Further, the findings unveil the participant’s ambivalent yet irresistible akogare for the West. The marginal desirability of the Philippines as a study-abroad destination represents how the historically and economically constituted global hierarchies of power have been reproduced in the discourse and practice of transnational English learning.
An introduction to conducting responsible and reproducible agricultural research
Authors: Sichinga-Ligowe Ivy , Joy Edward J.M. , Manzeke-Kangara M. Grace , Pino Loreto , Rivero M. Jordana , Devkota Mina , Broadley Martin R. , Haefele Stephan M. , McGrath Steve P. 
Published: December 2024

Abstract
This article aims to provide researchers with introductory guidance to good practices in the design, conduct and reporting of agricultural research. This narrative review considers issues related to research co-design, ethics and integrity, equity, diversity and inclusion, reproducibility and (meta)data reporting. Aspects for researchers to consider are highlighted, and relevant resources are identified, including academic papers and research funder guidance.
Spinoptics in the Schwarzschild spacetime
Authors: Frolov Valeri P. 
Published: December 2024

Abstract
We study spinoptics equations in the Schwarzschild spacetime. We demonstrate that using the
explicit and hidden symmetries of this metric one can explicitly solve the equations for complex null tetrad associated with null rays representing photon's and graviton's motion. This allows one to integrate the spinoptics equations both for the electromagnetic and gravitational waves. It is shown that the main effect of the interaction of the spin of these fields with the spacetime curvature is the tilt of the asymptotic planes of the massless particle orbit. The corresponding tilting angle is calculated. It is shown that this angle grows when a null ray passes in the vicinity of the circular null orbit located at r=3M.
Probabilistic Modeling of Ship Collision in The Lombok Strait, Indonesia: A Bayesian Network Approach
Authors: Ratih Iis Dewi , Artana Ketut Buda , Kuswanto Heri , Pratiwi Emmy , Zaki Athaya Raihan 
Published: December 2024

Abstract
Ship collisions are a type of maritime accident that can result in significant losses due to their direct impact on the structural integrity of the vessels involved. Collisions can occur between two or more ships crashing into each other. Such accidents can cause severe damage, threatening the safety of passengers and crew on all vessels involved, and generally result in greater losses than single-ship accidents. According to KNKT (National Transportation Safety Committee of the Republic of Indonesia) investigations, ship collisions occurred in the Lombok Strait from 2007 to 2019. The Lombok Strait is part of ALKI (Indonesian Archipelagic Sea Lanes) II, which connects Australia and East Asia. Therefore, assessing the frequency of collisions in these waters is necessary to determine the prevalence of such incidents. If the rate is high, efforts can be made to minimize risks and ensure safety in the shipping lanes, particularly in ALKI. A Bayesian Network can provide information about the likelihood of ship collisions, facilitating decision-making to prevent or mitigate the risks posed by such incidents. The model’s formation involves calculating the formed structure’s prior, conditional, and joint probability of the formed structure. Thus, conclusions were drawn based on the model’s predictions of ship collision chances in Indonesia, yielding an accuracy rate of 96.97%, a specificity of 90.00%, and a sensitivity of 100%. Based on Bayesian Network analysis and modeling, the causal probability values for the Lombok Strait are as follows: Pc Head-on, Pc Overtaking, and Pc Crossing are 2.85 x 10^-4, 1.03 x 10^-5, and 6.24 x 10^-5, respectively. Based on the Bayesian Network modeling results, the frequency of ship collisions in the Lombok Strait for each type of collision are 0.000026 collisions/year, 0.0000031 collisions/year, and 0.0000015 collisions/year, respectively.
Green finance, environmental taxation, and green innovation: unraveling their influence on the growth- quality nexus in China—a provincial perspective
Authors: Qamruzzaman Md 
Published: December 2024

Abstract
China’s fast industrialization and urbanization have led to impressive economic growth and caused severe environmental degradation, resulting in increased CO2 emissions. These emissions have increased by leaps and bounds with China’s rapid industrialization and urbanization. The case for sustainable development is compelling and has unleashed a search for green investments and technological innovations to meet the challenge. This study is motivated by the significant need to understand the effects of green finance, technological innovations, and environmental taxes on China’s economic growth and environmental sustainability. Furthermore, it tries to investigate how these elements may help make the model more sustainable and not endanger the developmental achievements of the country. For this purpose, we employed a comprehensive econometric approach through longitudinal data, and different models included Two-step GMM, Two-step system-GMM, and CS-ARDL. These methodologies portray various ways green investments, green technological innovation, tax, urbanization, inflows of FDI, and industrial structure intersect to influence environmental and economic outcomes in China. The results reflect a strong negative correlation with green investments made with CO2 emissions, proving that high investments in green technologies and practices effectively reduce carbon outputs. The study also underlined regional disparities and technological innovations in green. The study, therefore, recommends more efforts by Chinese policymakers on green finance and investment, standardization, and the rise in environmental standards across the country; enhanced efforts in further bringing down CO2 emissions through ecological taxes and incentives; and collective efforts with strong governmental support for research and development in low-carbon technologies that can help place China on a sustainable economic path.