bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of proton pump inhibitors on brain health based on cross-sectional findings from the Rhineland Study
Authors: Alaeddin Nersi , Koch Alexandra , Etteldorf Rika , Stingl Julia C. , Breteler Monique M.B. , de Vries Folgerdiena M. 
Published: December 2024

AbstractReports linking proton pump inhibitors (PPIs) with cognition and dementia show conflicting results, with limited evidence on underlying biological mechanisms. However, existing studies did not investigate brain microstructure, which could provide valuable insights into early structural changes indicative of cognitive decline. Analyses were based on cross-sectional baseline data from the Rhineland Study (n = 7,465; mean age 55.3 ± 13.7 years, range 30–95 years, 56.5% women). Using multivariate linear regression, we investigated associations between PPI use and cognition and brain macro- and microstructural measures (fractional anisotropy (FA) and mean diffusivity (MD) as measures of white matter integrity). Analyses were stratified by short-term (< 3 years) and long-term (≥ 3 years) PPI use, with additional age stratification (< 65 years; ≥65 years) for cognitive outcomes. PPI users, especially younger individuals, showed poorer global cognition and working memory. Notably, younger long-term users had worse total memory. PPI use was not associated with brain volume or FA, but both short-term and long-term users showed higher MD in cognitive-related brain regions. Our findings indicate that prolonged PPI use, particularly in younger long-term users, is associated with poorer cognitive performance. Moreover, PPI users showed higher MD, indicating potential white matter integrity disruptions. Further research is needed to ascertain causality and underlying mechanisms behind PPI-related cognitive decline.
Associative learning via eyeblink conditioning differs by age from infancy to adulthood
Authors: Konrad Carolin , Neuhoff Lina , Adolph Dirk , Goerigk Stephan , Herbert Jane S. , Jagusch-Poirier Julie , Weigelt Sarah , Seehagen Sabine , Schneider Silvia 
Published: December 2024

AbstractAssociative learning is a key feature of adaptive behaviour and mental health, enabling individuals to adjust their actions in anticipation of future events. Comprehensive documentation of this essential component of human cognitive development throughout different developmental periods is needed. Here, we investigated age-related changes in associative learning in key developmental stages, including infancy, childhood, adolescence, and adulthood. We employed a classical delay eyeblink conditioning paradigm that consisted of two sessions with a total of 48 paired trials. Our initial hypothesis was that performance in associative learning would increase linearly with age. However, our findings suggest that performance peaks during the primary school years: Children in this age-group exhibited superior performance compared to all other age-groups and displayed the most consistent and least variable learning. Adults and adolescents exhibited faster association learning than infants. An additional learning session supported learning in infants and adolescents indicating that during these developmental stages, consolidation processes are vital for learning. A comprehensive account of the development of associative learning may inform theories on aetiology and treatment options in clinical psychology and neurosciences.
Pronostic chirurgical lors de syndrome hémorragique jéjunal chez la vache laitière en ferme : 58 cas (2013-2024)
Authors: Guélou Kévin , Boucon Mathieu , Liron Marie 
Published: December 2024

Première cause d’obstruction digestive chez le bovin dans notre clientèle rurale, le syndrome hémorragique jéjunal (SHJ) a fait l’objet de nombreuses études rétrospectives.
L’objet de cet article est d’apporter des éléments épidémiologiques de la maladie et de rapporter les résultats obtenus en condition de terrain, après massage des anses intestinales lésées, à court (8 jours après intervention), moyen (entre 30 jours et 6 mois) et long termes (au-delà de 12 mois). Les données relatives aux animaux opérés ont été recueillies après examen des ordonnances, consultation de la base de données BDIVET, ou après interrogation de l’éleveur. Seules les vaches debout, opérées, par taxis de l’anse lésée, ont été retenues dans cette étude.
Entre septembre 2023 et octobre 2024, 58 vaches, de race Montbéliarde exclusivement, issues de 42 cheptels, ont été opérées avec ce mode opératoire. L’âge moyen des vaches malades était de 4,8 ans. Le rang de lactation moyen des animaux malades était en moyenne de 2,6 lactations. Le nombre moyen de jours en lactation était de 134 jours.
Le délai entre l’apparition des signes et l’intervention chirurgicale était compris entre 0 et 4 jours. La chirurgie intervenait en moyenne 12 à 24 heures après la découverte des premiers signes cliniques (moyenne 0,7 jour). Cinq animaux sont morts le jour suivant la chirurgie (8,5 %), pour un taux de survie à 8 jours estimé à 67,2 % (39/58). À 30 jours, il était de 62 % (36/58) alors que 39,3 % des vaches étaient encore vivantes 6 mois après la chirurgie, et 32 % un an plus tard (16/50). Le délai d’intervention n’a pas été un facteur contributif des taux de survie, quel que soit le terme (p < 0.05).
Les limites principales de cette étude tiennent au manque d’analyse des conditions pré- et peropératoires, lié à la qualité rétrospective de l’enquête. Il pourrait être intéressant d’y ajouter ce point d’étude pour améliorer la prise en charge du SHJ en ferme, avec une chirurgie plus facile à réaliser que l’entérectomie. Néanmoins, le nombre élevé de cas, exclusivement en race Montbéliarde, le contexte de terrain et les paramètres étudiés (taux de survie à moyen et long terme) la rendent originale.
An Amphiphilic Pentaaryl Cyclopentadienyl Ruthenium(II) Molecular Rotor with a Luminescent Tag
Authors: Rapenne Gwénaël , Nishino Toshio , Ohno Yorie , Ishihara Mika , Nishikawa Yoshiko , Martin Colin J. , Yasuhara Kazuma 
Published: December 2024

AbstractThis study presents a chemically modified molecular motor designed for interactions with lipid bilayers. By incorporating long alkyl chains into the anchoring fragment and a rhodamine luminescent tag onto the rotating subunit, we aimed to monitor the position of the motor and to permit its real-time visualization during membrane-perforation experiments. The synthesis of the functionalized tripodal ligand involved a seven-step process, culminating in the formation of a piano-stool Ru(II) complex that exhibits distinctive spectroscopic properties. The luminescence of the rhodamine tag, although slightly quenched upon incorporation in the Ru(II) complex, remains sufficiently strong to permit single-molecule observation using a total-internal-reflection fluorescence microscope.
Unsettling vulnerability in the wake of violence
Authors: Volvach Natalia 
Published: December 2024

Abstract
In this essay, I write about the multifaceted dimensions and reverberations of violence (Navaro et al., 2021b) of Russia’s war against Ukraine, spanning from 2014 to the present day. Drawing on
previous studies of semiotic landscapes, which emphasize a relational approach to people and places (Peck et al., 2019), I analyze ethnographic materials in the form of field notes collected during research
in Crimea in 2019. This is done to reflect on the character of the violence to which people and landscapes become exposed. Three
analytical vignettes describe the remnants of violence, which take on various guises of Russia’s war
and highlight the vulnerability of both people and landscapes. At the end of the essay, I propose approaching these processes
poetically, and viewing them through the lens of mutual vulnerability — a concept that considers the
relationality of vulnerability as a phenomenon, encompassing the vulnerability of both people and landscapes.
Intralingual and interlingual effects in a pure language list
Authors: Broekhuis Lisan , Bernolet Sarah , Sandra Dominiek 
Published: December 2024

Abstract
In various English lexical decision tasks (LDTs), bi-/multilinguals have evinced shorter response times (RTs) for
cognates (i.e., words with the same meaning in two languages, e.g., the Dutch-English water) and longer RTs for
interlingual homographs (IHs; words with distinct meanings in two languages, e.g., the Dutch-English map)
compared to monolingual controls (e.g., Biloushchenko, 2017). This suggests that
multilinguals automatically activate lexical representations from multiple languages (Dijkstra
et al., 1998). To further investigate language (non-)selectivity, in our English LDTs, we compare the processing of
cognates and IHs to intralingual words that are similar but only exist in English (i.e., cognates to metonyms like
chicken, which can refer to the animal and the closely-related sense “chicken meat”, and IHs to homonyms like
bat, which has two meanings: “baseball bat” and “nocturnal flying animal”). Half of our cognates and IHs only
exist in our native Dutch participants’ non-native languages (English-French) to avoid any potentially confounding effects of the
supposed “special status” (Midgley et al., 2011) of L1. Significant inhibition was
found for homonyms and significant facilitation for metonyms and native (Dutch-English) cognates but not for non-native
(English-French) cognates. These results are discussed in relation to the language non-selective hypothesis (Dijkstra et al., 1998).
Talking it through with teachers
Authors: Gorp Koen Van , Branden Kris Van den , Newton Jonathan , Coss Matthew D. 
Published: December 2024

Abstract
This interview with Jonathan Newton explores key issues in task-based language teaching (TBLT), focusing on the relationship between TBLT and textbooks, and the potential for TBLT teacher development building on existing practices and materials. Newton challenges the wholesale rejection of textbooks in TBLT, arguing for “taskification” of existing materials as a pragmatic approach for teachers. He discusses the utility and limitations of task criteria (Meaning, Gap, Own Resources, Outcome — “MGOO”) as a heuristic for teachers, emphasizing the need for clearer conceptualization and application across different task types. The interview highlights the importance of building on teachers’ existing practices when introducing TBLT principles, rather than approaching TBLT from a highly theoretical angle. Newton reflects on TBLT implementation in Asian contexts, noting the diversity of educational settings and the potential of TBLT to enhance student motivation and agency. The interview underscores the value of teacher-researcher collaboration in developing practical, context-appropriate TBLT approaches.
A journey of sustainable TBLT curricular development
Authors: Kim YouJin 
Published: December 2024

Abstract
Task-based Language Teaching (TBLT), introduced in the early
1980s, has significantly matured through the integration of theories and
research from instructed second language acquisition (ISLA) and educational
practice, effectively addressing the growing need for efficient programs.
Although many initial criticisms have been treated as non-issues using evidence
from empirical research (Ellis, 2017;
Long, 2016), program-wide
adoption of TBLT is less widespread than might have been expected by now (Long & Ahmadian, 2022). The three
areas that I see as needing improvement are (1) long-term collaboration with
various stakeholders for different roles, (2) producing TBLT ambassadors through
teacher education, and (3) documenting TBLT programs in action. This paper
begins by reviewing different collaboration models for developing and
maintaining TBLT curricula and sharing sample TBLT programs in action. I then
present a sample case study demonstrating work with various stakeholders,
particularly focusing on novice teachers, and fostering TBLT ambassadors. The
paper concludes by suggesting six principles for developing and maintaining
sustainable TBLT curricula at the programmatic level.
Ultra-broadband non-degenerate guided-wave bi-photon source in the near and mid-infrared
Authors: Roeder F , Gnanavel A , Pollmann R , Brecht O , Stefszky M , Padberg L , Eigner C , Silberhorn C , Brecht B 
Published: December 2024

Abstract
The latest applications in ultrafast quantum metrology require bright, broadband bi-photon sources with one of the photons in the mid-infrared and the other in the visible to near infrared. However, existing sources based on bulk crystals are limited in brightness due to the short interaction length and only allow for limited dispersion engineering. Here, we present an integrated PDC source based on a Ti:LiNbO3 waveguide that generates broadband bi-photons with central wavelengths at

860

nm

and

2800

nm

. Their spectral bandwidth exceeds

25

THz

and is achieved by simultaneous matching of the group velocities (GVs) and cancellation of GV dispersion for the signal and idler field. We provide an intuitive understanding of the process by studying our source’s behavior at different temperatures and pump wavelengths, which agrees well with simulations.
Optimized energy storage configuration considering joint operation of multiple parks
Authors: Tan Liping , Zhang Wenyuan , He Jing , Chen Qing , Zhang Shijie , Huang Yicheng 
Published: December 2024

Abstract
The park’s growing reliance on photovoltaic and wind power faces challenges due to their intermittent and peak-opposite nature, causing a mismatch with load demand and highlighting the issue of energy consumption. This paper addresses this by proposing an optimized energy storage configuration method for multi-park joint operation, considering demand differences. It involves designing a joint operation mode with energy storage and an operation method for energy storage under joint demand. An optimization model is developed to minimize configuration costs while adhering to system and energy storage constraints. The paper’s method is validated through case studies.
Calculation of forces exerted on to the preformed helical fittings of transmission lines
Authors: Chen Keji , Sun Yongjun , Li Xinchun 
Published: December 2024

Abstract
The preformed fittings, as a crucial component of overhead lines, directly impact the safe and stable operation of the entire transmission line. In recent years, preformed fittings in ultra-high voltage transmission lines have frequently encountered issues such as strand separation, misalignment, and breakage, posing potential threats to the stability of the power grid. To comprehensively assess the performance of preformed fittings and enhance the accuracy of analysis, this paper first employs an explicit solution method for quasi-static analysis to thoroughly investigate the impact of different analysis time steps on system energy and solution outcomes. During this process, a monitoring mechanism for the ratio of kinetic energy to internal energy is specifically established to ensure the accuracy and reliability of the analysis results. Based on the aforementioned research, this paper further focuses on the contact pressure, deformation, and slippage between the preformed fittings and the conductors, conducting a detailed analysis. Through this study, it is expected to gain a deeper understanding of the mechanical behavior of preformed fittings during actual operation and provide a solid theoretical foundation for their optimized design.
Troubleshooting of wind turbine gearboxes
Authors: Shao Luchuan , Zhao Bing 
Published: December 2024

Abstract
Qinghai Province is rich in wind power resources, actively building wind power generation clean energy highland, large installed capacity, and in the rapid expansion, how to achieve the safe and stable operation of the wind power base is particularly critical. Wind turbine gearboxes operate 24 hours a day under poor working conditions, and key components are prone to failure, accounting for the highest proportion of maintenance costs, so it is of great significance to research intelligent assessment methods and key technologies for the health status of wind turbine gearboxes. A dynamic model of wind-machine-network coupling in wind turbine transmission chain is established to investigate the failure mechanism and dynamic evolution of transmission chain gearboxes under variable wind load. A time-frequency energy concentration algorithm based on a synchronous extraction operator is found to explore the mapping relationship between fault sources and signs. Using a multi-source signal fusion strategy and migration learning method for order spectral analysis, a system fault characteristic parameter identification model is established to implement online monitoring and fault prediction of the wind turbine operation condition, and to improve its operation reliability.
Application of RBF neural network PID control on buck DC-DC converter
Authors: Pan Ning , Wu Guitai , Li Renlong 
Published: December 2024

Abstract
A structure to solve low control accuracy and poor tracking performance in traditional PID controlled DC-DC converters when input voltages and load currents fluctuate has been proposed: combining PID control with Radial Basis Function (RBF) neural networks. To optimize the PID controller’s parameters, this approach makes use of the RBF neural network’s approximation capability for nonlinear functions. Under different test conditions, the neural network takes the output voltage and its deviation from the reference value as inputs. The hidden layer employs Gaussian activation and adjusts by gradient descent. The output layer computes the PID controller’s Proportional (Kp), Integral (Ki), and Derivative (Kd) by the linear combination of hidden layer node outputs. Simulation results using MATLAB/Simulink demonstrate that, under different test conditions, the system employing RBF neural network-PID control exhibits a smaller overshoot compared to traditional PID control systems. Furthermore, in steady-state circumstances, the settling time is shortened by around 1/2 and is decreased by roughly 1/4 in the presence of disturbance signals. These results unequivocally demonstrate that, in the presence of fluctuating test conditions, the new structure of this combination greatly improves the control precision and tracking performance of DC-DC converters.
The dynamic power sharing method for hydrogen-battery-supercapacitor hybrid energy storage system in DC microgrid
Authors: Zhou Shun , Zhang Xibeng , Luo Yupeng , Zhang Yanyu , Lu Yang 
Published: December 2024

Abstract
Recently, the electric-hydrogen hybrid system has gained widespread adoption as a means of enhancing the efficiency of photovoltaic power dissipation. However, optimizing power allocation among various energy storage systems presents a significant challenge. In this paper, we will propose an adaptive droop control strategy for Electric-Hydrogen Hybrid Energy Storage System (EHESS) within DC microgrids. This strategy takes into account the state of charge (SOC) of the battery and the state of hydrogen (SOH) within the hydrogen storage tank. Through simulation analysis, we will evaluate the efficacy of the method and demonstrate its effectiveness in facilitating collaborative power allocation within EHESS.
Optimized design and magneto-thermal coupling simulation analysis of automotive permanent magnet synchronous motor
Authors: Wu Zengyan , Li Shiliang , Bai Peng 
Published: December 2024

Abstract
This paper presents an optimized design for automotive permanent magnet synchronous motors (PMSM) focusing on expanding their operational speed range and improving efficiency. The issues of high losses and low efficiency in standard built-in fractional-slot PMSMs, which impact the stable operation of vehicle motors, are identified and addressed., Three innovative rotor magnetic circuit structures are proposed utilizing electromagnetic theory and finite element analysis. These designs are simulated and analyzed to reduce overall motor losses to 59% of the original levels and to ensure thermal characteristics meet the demands of wide-speed automotive motors. The study establishes a three-dimensional transient temperature field simulation model to predict temperature rise and distribution across motor components. The optimized rotor structures enhance performance and serve as a reference for future thermal design in PMSMs.
Study on interleaved parallel and secondary coupled switched inductance Boost converter
Authors: Lv Xiao 
Published: December 2024

Abstract
In recent years, with the worsening of environmental problems, photovoltaic power generation technology has become more and more widely used. In this paper, the output voltage level of a photovoltaic power generation system cannot meet the requirements of grid connection, and a scheme is proposed. An interleaved parallel and secondary coupled switching inductance Boost converter is proposed by combining secondary coupled switching inductance, coupling inductance, interleave-parallel technique, and capacitor-diode (CD) unit. The operating mode and steady-state performance are analyzed in detail, and the voltage gain and the voltage and current stress of each component are calculated. The model is built on the PSIM simulation platform, and the correctness of the theoretical analysis is verified by the simulation results. The results show that the voltage gain is improved effectively, and the voltage stress of each component is reduced, which accords with the theoretical analysis.
Study on the reliability verification method of electronic transformer under multi-physical field coupling effect
Authors: Qiu Keyue , Zhu Jianyang , Zhong Runfeng , Li Bowen , Feng Qihui , Wang Yu 
Published: December 2024

Abstract
With the development of smart grid technology, electronic transformers play an important role in substations, but their reliability is affected by a variety of environmental factors, such as temperature, humidity, and electromagnetic interference. Existing test standards fail to comprehensively simulate the operation of electronic transformers in real environments, resulting in their insufficient reliability. In this study, we propose a reliability verification method for electronic transformers that considers the effects of multiple physical fields, which mainly includes an electrical fast transient pulse group interference immunity test with temperature and humidity considerations, a conducted interference immunity test with radio frequency induction, and a surge interference immunity test. The test results show that the immunity of the collector is greatly affected when the electronic transformer is subjected to electromagnetic interference superimposed on temperature and humidity field changes and is prone to failure in extreme cases. This study provides a practical basis for the scenario application of electronic transformers.
Establishment method of IGBT thermal network model based on electrothermal coupling simulation and parameter identification
Authors: Wu Hao , Ying Zhanfeng , Chen Zhihua , Zu Wei 
Published: December 2024

Abstract
To swiftly and precisely assess the IGBT’s thermal safety during the circuit design phase, this paper proposes a method of establishing an IGBT thermal network model by electrothermal coupling simulation and parameter identification. This model integrates electrothermal coupling simulation techniques and parameter identification methods. Firstly, the IGBT’s finite element model is established by COMSOL, aiming to acquire the temperature distribution patterns of the IGBT and its heat sink under various operating conditions. Then, the objective function of parameter identification is constructed. The IGBT thermal network model’s parameters are extracted by combining the electrothermal coupling simulation results with the primal-dual interior point method. Then the device’s junction-ambient thermal network model is obtained. The proposed method’s efficacy is validated through the comparison of the results and calculation time of the thermal network model and the electrothermal coupling simulation.