bluuebunny/crossref_metadata_2025 huggingface dataset:
A three-term CG projected-based method with control factor and its inertial version for constrained nonlinear equations
Authors: Li Jiayi , Shao Hu , Xu Shengbei , Liu Pengjie , Li Guoxin
Published: February 2025

Narushima et al. [SIAM J. Optim. 21(1), 212-230, 2011] proposed a three-term search direction that ensures the sufficient descent condition. In this study, we introduce a control factor to enhance the search direction, which not only possesses the sufficient descent property but also automatically incorporates the trust region feature, independent of the choice of line search. We then extend the modified search direction to solve constrained nonlinear equations using hyperplane projection technique. Moreover, we incorporate an inertial acceleration technique to develop an inertial version of the proposed method. The global convergence of the inertial method is theoretically established, even in the absence of Lipschitz continuity in the underlying mapping. Additionally, under suitable conditions, we prove its linear convergence rate. Numerical experiments demonstrate the excellent performance of our proposed methods in solving constrained nonlinear equations and restoring blurred images contaminated by Gaussian noise.
Ayurvedisches Verständnis von Aromatherapie
Authors: Gupta Hedwig
Published: February 2025

Eine eigenständige Aromatherapie gibt es im klassischen Ayurveda nicht. Die Sinne werden hier als Organe beschrieben, die für Gesundheits- und Krankheitsentstehung eine wichtige Rolle spielen. Der ausgeglichene Einsatz der Sinne mit einer guten Verbindung der Sinne mit ihren Objekten fördert die Gesundheit. Aromen werden je nach ihren Eigenschaften so ausgewählt, dass sie die doshas vermindern, die in der erkrankten Person verstärkt sind, die den Zustand der Verdauungsfeuer, der Gewebe, die Funktion der Biokanäle, der Organe und des Geistes möglichst zielgerichtet ausgleichen.
Aromapflege im Krankenhaus für Naturheilweisen – praktische Anwendungen
Authors: Schmidt Robert
Published: February 2025

Die Aromapflege wird als Teil der Phytotherapie betrachtet und dient der Linderung physischer und psychischer Beschwerden. Die Anwendung erfolgt in bestimmten Konzentrationen und muss rechtlichen Vorgaben entsprechen. Patienten des KfN werden zu Beginn ihres Aufenthalts über den Einsatz ätherischer Öle informiert und müssen ihr Einverständnis geben. Eine interne Expertengruppe, die Aromagruppe, entwickelt die Aromapflege kontinuierlich weiter, sichert die Qualität und bietet aromatherapeutische Konsultationen an.
Alpine Düfte – Baumöle aus der Krummholzzone in den Hochalpen
Authors: Thumm Anusati
Published: February 2025

Die Krummholzzone ist die alpine Vegetationsstufe oberhalb des Hochwaldes. Hier gedeihen robuste Nadelbäume wie Latschen- und Zirbelkiefern, Lärchen und Bergwacholder. Aus ihren Harzen und Nadeln werden ätherische Öle gewonnen, die für ihren einzigartigen Duft und ihre kraftvolle Wirkung bekannt sind.
Emotion as tourist appeal
Authors: Hermán-Carvajal Antonio
Published: February 2025

The practice of alternative tourism is on the rise globally. Among the forms of tourism included under this term, adventure
tourism and slow tourism are particularly noteworthy. Both forms of tourism have a strong connection to evoking emotions. This study has
analyzed the emotional tone in adventure tourism and slow tourism discourse by analyzing the valence and arousal of the most
representative terms using corpus linguistics techniques. A contrastive analysis of texts in English and Spanish was conducted to provide insights for translators working with tourism texts. The results of this study show that English texts tend to move further away from neutral
emotions, which could have implications for the choice of terms when translating tourism texts in the English-Spanish language
combination.
El viaje del inglés al castellano de Roughing it in the Bush, de Susanna Moodie
Authors: Párraga Javier Martín
Published: February 2025

El volumen Roughing it in the Bush, publicado por la autora Susanna Moodie (1803–1855) en 1852 resulta fundamental para las letras canadienses; al narrar en primera persona el testimonio de una de las primeras colonas
en Canadá en el inhóspito contexto de los bosques del país norteamericano. La importancia de esta obra, que en muchos sentidos no es sino
un libro de viajes es doble. En primer lugar, nos permite conocer los orígenes de Canadá. En segundo término, destaca por su influencia en
posteriores autores canadienses, de la importancia y prestigio de Margaret Atwood. En este trabajo examinamos, en primer lugar, la
importancia de Moodie y su obra Roughing it in the Bush para, posteriormente, analizar las dificultades que entraña traducir esta seminal
obra al castellano.
La enoterapia como experiencia enoturística emergente
Authors: Rodríguez-Faneca Cristina
Published: February 2025

La enoterapia se ha convertido en una alternativa enoturística innovadora cuyo crecimiento es especialmente relevante en
España y Francia. Por ello, los distintos actores implicados en este sector buscan promocionarse en mercados exteriores a través de sus
sitios webs. El objetivo principal de este trabajo es el de analizar el grado de localización de la versión en inglés del sitio web de Les
Sources de Caudalie para identificar, posteriormente, los principales retos de localización para el mercado español. Se trata de un sitio
web semilocalizado que adolece de la falta de adaptación lingüística y cultural para potenciales clientes cuya lengua no sea el francés o
el inglés. Los principales retos de localización hallados están relacionados con elementos textuales cuyo cometido es interactuar con
usuarios.
Examining vocabulary knowledge in languages other than English
Authors: Lindqvist Christina
Published: February 2025

Research on vocabulary knowledge has a long tradition within the SLA field, with a steadily growing
number of publications since the 1980s (e.g. Bardel et al., 2013; Carter, 1987; Daller et al., 2007;
Milton, 2009; Nation, 2001;
Schmitt & McCarthy, 1997). However, as emerges from a recent
handbook on vocabulary studies (Webb, 2020a), most previous research
concerns L2 English, with relatively few studies investigating vocabulary learning in languages other than English. To
what extent is it possible to adapt English tests and instruments to other languages? How can we compare results
between languages as far as vocabulary knowledge is concerned? This chapter will present an overview of studies on
vocabulary knowledge in L2 French by focusing on the approaches and methods that have been used and by comparing to L2
English. It is well known that vocabulary knowledge is complex, including many different aspects such as the word’s
form, its meaning and how it can be used, as suggested by Nation (2001).
Studies on L2 French have to date mainly focused on vocabulary size, lexical richness and vocabulary depth. The
chapter will systematically review and critically discuss the studies’ research designs and methodologies.
Methodological considerations in the study of morphology in L2 French
Authors: Ågren Malin
Published: February 2025

This chapter focuses on L2 French and offers an overview of research methods used in the domain of
French inflectional morphology. More precisely, the chapter describes and exemplifies methodological approaches, study
designs, and data collection procedures used in studies on L2 development of French morphology in the noun and verb
phrases. Furthermore, the chapter deals with some methodological challenges with specific reference to morphological
aspects of French, as compared to other languages. Finally, the complementarity of different methodological
approaches, limitations in the literature and implications for future research are discussed.
Methods and approaches in second language research of L2 French syntax
Authors: Herschensohn Julia , Arteaga Deborah
Published: February 2025

This chapter evaluates methodological inquiries to L2 acquisition (L2A) of French syntax and
approaches used to carry them out. Over four decades, a range of theoretical approaches to L2 French syntax have
prevailed in North America, Asia and Europe. For example, the generative or Universal Grammar (UG) perspective
maintains that learning entails elaboration of an L2 grammar determined by universal principles and L1 influence.
Functionalist approaches take a more wholistic perspective in situating syntax within the sociocultural context,
examining both its interface with pragmatics and its place within the learner’s interlanguage. Earlier investigations
primarily used offline data from spontaneous and elicited production and comprehension tasks involving metalinguistic
grammaticality judgement. Current research emphasizes the growing importance of methodology, including considerations
of proficiency level, range of data collection methods, validity and replicability. Recent articles treating French
syntax range in methodology from sociolinguistic interview to real-time eye-tracking; furthermore, publishers of this
research encourage authors to make available materials (IRIS database) and to share in Open Source. This chapter first
outlines theoretical approaches to L2 French syntax; it then critically examines methodological developments in data
collection and analysis, while pointing to future directions of research, including the link between L2A research and
pedagogy.
Imperfect verbal prefixes as discourse markers
Authors: Adnan Muhadj , Owens Jonathan
Published: February 2025

Many varieties of Arabic have one or more pre-verbal imperfect markers. While some, like the
Egyptian future prefix ħa- or ha-, have a clearly profiled meaning, many defy simple
definition. We concentrate on two of these with numerous shared attributes: Iraqi da- and an Upper
Egyptian morpheme with many allomorphs conventionally identified as ʕan-. Using corpora of Iraqi and
Upper Egyptian Arabic, we describe the syntax-pragmatics of da- and ʕan-,
highlighting their pragmatic, procedural basis: both basically signal text coherency. Da- encompasses
a global scope while ʕan- is typically used locally in an adjacency pair. We conclude by developing a
rough typology of pre-verbal imperfect markers in Arabic, da- and ʕan- constituting
a hitherto neglected class of pragmatic prefixes.
Coloniality and patterns of scholarly linguistic investigations in Arabic language acquisition studies
Authors: Khamis Reem
Published: February 2025

The concept of decoloniality has gained increasing attention, as it involves an ongoing process of
identifying and dismantling power structures and knowledge dominations rooted in colonial legacies within the modern
world system. This process has been applied to various aspects of knowledge production, including specific fields of
study such as linguistics, neuroscience, and cognitive sciences.

However, there is a noticeable gap in the literature when it comes to applying decolonial
perspectives to the study of Arabic language acquisition. This paper aims to fill that void by reflecting on how
coloniality influences personal investigations into language acquisition. The reflection illustrates how coloniality
permeates all stages of knowledge production, from the formulation of research questions to data collection, analysis,
theoretical frameworks, and interpretation.

The key points raised in this reflection underscore the critical need for embracing decoloniality
in Arabic linguistic studies. Such an approach can propel us beyond conventional monolingual normative frameworks of
inquiry and open up innovative avenues for inquiry. It can transform Arabic acquisition scholarship, moving from
prescriptive perspective to informative one that empowers idiolectic inquiry viewed from the internal perspective of
the individual and separated from the external perspective of the society.

The paper calls upon scholars in Arabic acquisition studies to embark on a journey of
self-refection, to critically examine their positionality, and to actively contribute to social justice through their
professional work. By adopting decolonial perspectives, scholars can work towards a more inclusive, diverse, and
equitable future for the study of Arabic language acquisition.
Durotaxis of Physarum polycephalum
Authors: Filipinas Jae Lord Dexter C , Confesor Mark Nolan P
Published: February 2025

The utilization of mechanical cues in guiding the morphological growth of decentralized organisms has remained unexplored. Here, we present experimental evidence demonstrating the mechanical guidance and durotaxis of a unicellular decentralized organism, Physarum polycephalum. We investigate the spatial-temporal dynamics of its plasmodial nodes as it expands over agar substrates with gradients in stiffness. Our findings reveal directional persistence and strong polarization of the plasmodia towards regions of stiffer substrates, indicating a guided migration response. Notably, as supported by simulations, this guided migration is found to be independent of the absolute gradient of substrate stiffness.
Coupling and acceleration of externally injected electron beams in laser-driven plasma wakefields
Authors: Maity Srimanta , Sasorov Pavel , Molodozhentsev Alexander
Published: February 2025

The multi-stage method of laser wakefield acceleration (LWFA) presents a promising approach for developing stable, full-optical, high-energy electron accelerators. By segmenting the acceleration process into several booster stages, each powered by independent laser drivers, this technique effectively mitigates challenges such as electron dephasing, pump depletion, and laser diffraction. A critical aspect of multi-stage LWFA is the nonlinear interaction between the injected electron beam and the laser-driven wakefields in the booster stage. This study investigates the injection and acceleration of external electron beams within wakefields in the booster stage using multi-dimensional particle-in-cell simulations. We provide both qualitative and quantitative descriptions of the observed physical processes. Key parameters influencing charge coupling process and the resultant beam quality have been identified. Furthermore, we have examined how off-axis injection relative to the driver laser influences the acceleration process and beam quality. Our findings provide valuable insights for advancing and optimizing multi-stage plasma-based accelerators.
A simulation guided BCSM blind deconvolution for fault diagnosis in wind turbine bearing
Authors: Li Jiahao , Wang Yanxue , Xiang Jiawei , Chen Zhigang
Published: February 2025

The non-stationary operating conditions of wind turbines, along with adverse environmental factors, frequently cause the rotation shaft to move abnormally, resulting in periodic impulse interference and noise. There are significant challenges for the accurate diagnosis of wind turbine bearing faults. Box-cox sparse measures (BCSM) deconvolution is a validity method for machinery fault diagnosis because it is significantly for reducing noise and eliminating the interference of the system transmission path. The improper selection of the initial filter can result in the failure of BCSM deconvolution (BCSMD) to effectively extract fault characteristics of wind turbine bearings subjected to strong periodic interference. To overcome this limitation, a simulation-guided BCSMD method is proposed. In the initial step, a finite element method simulation is conducted to identify the potential carrier frequency derived from the first flexural frequency in modal analysis. Subsequently, this carrier frequency is employed as the central frequency, along with a predetermined filter length, to ascertain the appropriate filter. Finally, the simulation designed filter is used as the initial filter of BCSMD to filter the raw signal. Compared with the original BCSMD method, its main contribution lies in the organic integration of a finite element simulation with filter design, thereby effectively preventing the iteratively derived filter from converging to non-fault frequency bands. Experimental results indicate that simulation-guided BCSMD can precisely identify fault characteristics even in the presence of periodic impulse interference.
Improved deep domain adversarial neural network with joint maximum mean discrepancy for bearing multi-condition fault diagnosis
Authors: Jiang Xingwang , Yang Xu , Huang Jian , Zhou Xian , Cui Jiarui
Published: February 2025

The non-Gaussian and other complex forms of data distribution for the speed and load of different bearings are due to various nonlinear factors. When processing data, marginal distribution only focuses on the distribution differences on a single layer and cannot fully capture the joint distribution differences between multiple layers. To solve this problem, this paper proposes a bearing multi-condition fault diagnosis method based on joint adversarial adaptation network. First, joint distribution adaptation is designed to transfer data, establish connections between distribution constraints between layers, form a unified joint distribution, and calculate the joint distribution difference between each layer of the network. Then, the adversarial training method is adopted in the forward propagation process, the target domain data enters the domain classifier through the feature extractor, where it is confused with the source domain. Finally, a dropout layer is added to the feature extractor part to modify the neurons of the hidden layer. The weight update no longer depends on the joint action of fixed relationship nodes, which prevents the fault feature from working only under specific nodes. To have a better generalization performance of the model, different bearing speeds and loads are used for experiments. The experimental results show that the proposed method improves the accuracy by 14.27% and 8.07% respectively compared with other methods.
Non-invasive online detection of power circuit breaker timing and asynchronism via phase-space spectral radius analysis
Authors: Yang Qiuyu , Huang Xiaorong , Liu Yawen , Xue Xue , Ruan Jiangjun , Xie Jingyi
Published: February 2025

Mechanical condition monitoring of power circuit breakers (CBs) is vital for predictive maintenance, enabling early detection of mechanical issues. However, traditional offline testing methods require the CB to be taken offline, which is inefficient and incurs high maintenance costs. This paper introduces a novel online monitoring scheme for detecting CB contact timing and asynchronism using an enhanced dual threshold method-phase space spectral radius (DTM-PSSR). Vibration signals are initially processed using the DTM for variational mode decomposition. The signal component with the highest correlation to the original signal is selected for PSSR reconstruction. The reconstructed energy spectrum identifies the energy peak, used to calculate asynchronism and contact timing. This method employs a single accelerometer to directly capture relevant parameters without the need to take the CB offline, providing a practical, non-invasive solution for online CB monitoring and streamlining the maintenance process.
First-principles computational screening of N2 gas adsorption by two-dimensional M2N-MXene
Authors: Yang Jia , Sun Liang , Yan Ruiqi , He Zhi , Xu Wenzhen , Peng Jianhong
Published: February 2025

The capture and utilization of N2 has been limited by the development of high-performance N2 capture and storage materials, and exploring the adsorption mechanism of N2 and searching for new and efficient N2 adsorption materials are the key to solving this technological challenge. In this study, the adsorption properties of d
4 and d
5 two-dimensional M2N-MXene (M = Sc, Ti, V, Ni, Cu, Zn, Y, Zr, Nb, Mo, Ru, Rh, Pd, Ag, and Cd) on N2 molecules were investigated based on first principles. The results of cohesion energy, energy band structure and partition density indicate that the 15 M2Ns have excellent stability and electrical properties. In addition, with the lateral N2 molecules obtaining a larger adsorption energy on most of the M2Ns than the cis-N2 molecules, and the adsorption of N2 depends on its interaction with the d-band electrons of M atoms. The adsorption energies, structural and electronic properties of the adsorption systems indicate that the stable structures of Ti2N and Zr2N have a strong binding capacity to N2, and the bond lengths of N2 molecules increase significantly during the adsorption process, implying the weakening of the N–N triple bond, and therefore Ti2N and Zr2N are expected to be the most promising materials for N2 trapping and catalytic reduction, and a simple kinetic thermal stability simulation was done, and it was found that the screened materials may desorb at 500 K. Moreover, the adsorption mechanism between N2 and CO2 is not only selective adsorption but also competitive adsorption. The study of N2 adsorption on M2N-MXene provides theoretical guidance for the exploration of M2N in the field of nitrogen capture, storage and catalytic reduction, which can help to promote the economic value-added of nitrogen.
Mechanics of fused deposition modelling printed novel nested auxetic lattices
Authors: Acharya Antu , Mahato Arjun , Roy Shibayan , DasGupta Anirvan , Jain Atul
Published: February 2025

Auxetic lattices possess Negative Poisson’s Ratio (NPR), which results in enhanced mechanical properties like indentation resistance, energy absorption etc. However, due to their lowered stiffness and low relative density, these lattices have limitations in structural applications. In this paper, a nesting strategy is proposed to enhance the stiffness of such materials. A thorough study, combining both numerical (finite element based) and experimental analyses, is presented to demonstrate the effectiveness of the proposed approach. It is shown that the proposed strategy can lead to high (∼up to 17-fold) rise in stiffness whilst retaining significant auxeticity. The in-plane elastic properties have been experimentally determined by performing instrumented tensile tests involving Digital Image Correlation and correlation with the numerical data is established. Subsequently, the stress-strain behavior, specific energy absorption, strain to failure and the failure characteristics are presented confirming superior mechanical attributes of the Nested lattices. An important perspective is the effect of Fused Deposition Modelling process and its suitability for printing complex lattice structures.
High-pressure effects on the crystal structure and critical temperature in superconducting NbB2 and stabilized MoB2
Authors: Yamane Kazuki , Matsumoto Ryo , Yamamoto Takafumi D , Terashima Kensei , Adachi Shintaro , Takeya Hiroyuki , Nagasawa Mitsuharu , Takano Yoshihiko
Published: February 2025

Exploration of superconducting metal diborides with a high critical temperature (T
c) has attracted much attention since the discovery of MgB2. Recently reported high T
c in compressed MoB2 has motivated us to investigate the electrical transport properties under high pressure in other metal diborides. We focus on the relationship between T
c and a stretched c-lattice parameter (c/a), known as a crucial parameter for superconductivity in MgB2, which shows the primary contribution of p electrons to the electronic structure. In this study, the correlation between T
c and c/a is investigated in NbB2- and MoB2-based superconducting diborides, which have totally different electronic structures mainly comprising d electrons from transition metals. Our high-pressure electrical transport measurements and structural analysis revealed that a common positive correlation between T
c and c/a is observed in NbB2, Zr-stabilized MoB2, and these defected systems. Our insights open further avenues for the development of superconducting metal diborides.
Tunable superconducting diode effect in higher-harmonic InSb nanosheet interferometers
Authors: Wu Xingjun , Wang Ji-Yin , Su Haitian , Yan Shili , Pan Dong , Zhao Jianhua , Zhang Po , Xu H Q
Published: February 2025

Superconducting diodes, characterized by the nonreciprocal supercurrent flow, have gained significant attention for their potential in dissipationless electronics. This study presents a superconducting quantum interference device (SQUID) composed of two Al-InSb nanosheet Josephson junctions. Utilizing prepatterned local backgates, we achieve a gate- and flux-tunable superconducting diode with controllable efficiency in both amplitude and sign. Numerical simulations attribute the diode effect to higher harmonics in the current-phase relation. Crucially, fractional Shapiro step experiments provide direct insights into the evolution of these higher harmonics with flux tuning, showcasing significant enhancements in the second-harmonic signatures of the SQUID near half-integer flux quanta. Furthermore, we investigate the microwave-assisted diode response and experimentally show that the polarity of the diode effect can be switched by the microwave power. These results demonstrate the potential of InSb nanosheet-based hybrid devices as highly tunable elements for use in dissipationless electronics.
Anisotropic thermal conductivity in two-dimensional B8Si4: a first-principles study
Authors: Zhang Tingting , Cao Yangyang , Zhu Liyan
Published: February 2025

We report a comprehensive study on the thermal conductivity of two-dimensional (2D) B8Si4 using first-principles calculations and the Peierls–Boltzmann transport equation. Thermal conductivity calculations reveal significant anisotropy, with values of 147.0 Wm−1K−1 along the x direction and 111.0 Wm−1K−1 along the y direction at 300 K. These values are comparable to silicon, highlighting the efficient thermal dissipation capabilities of 2D B8Si4. The major contributions to thermal conductivity come from in-plane acoustic modes (LA and TA), whereas the contribution from out-of-plane acoustic (ZA) modes is relatively minor due to their shorter lifetimes and lower group velocities. The findings suggest that 2D B8Si4 is a promising material for applications in nanoelectronics and thermal management, offering substantial thermal conductivity and anisotropic heat dissipation properties. This study provides a foundational understanding of the thermal properties of 2D B8Si4, paving the way for future research into its potential technological applications.
Theoretical analysis and optimization on nested-ring doped LMA-TDFs in the power scaling of short-wavelength TDFO
Authors: Ren Junjie , Qi Yunfeng , Yu Ting , Tao Mengmeng , He Zhenxing , Ye Xisheng
Published: February 2025

The large-mode-area thulium-doped fiber (LMA-TDF) with a nested-ring doping profile has a smaller doped area and a lower overlap with LP01 mode, which can effectively suppress long-wavelength (>1940 nm) amplified spontaneous emission (ASE) combined with fiber bending techniques. Thulium-doped fiber oscillators (TDFOs) based on this nested-ring doping scheme have advantages in achieving high signal-to-noise ratio (SNR) short-wavelength laser output with low heat load. This paper focuses on optimizing the configuration parameters of the nested-ring doping scheme. It evaluates its impact on the output characteristics of the oscillator in the presence of a backward-propagated laser. Results show that using a nested-ring doping scheme of Δ

r

̄

=

0.1
,

r

̄

c

=

0.95

(Δ

r

̄

and

r

̄

c

represent the normalized width and the center-normalized radius of the doping ring, respectively) with a high thulium dopant concentration can achieve the best balance between output power, SNR, and thermal management. Under 200 W co-pumping, the oscillator based on this doping scheme achieved 111 W signal power output, a maximum SNR of 63 dB and the lowest maximum heat load of 27 W m−1, while exhibiting the minimum 1908 nm power drop ratio of 0.0037 W mW−1 when faced with 2000 nm backward-injected laser. An output power exceeding 1 kW at 1908 nm can be theoretically expected by employing the oscillator based on this optimal doping scheme.
Enhancing physics education with IoT: a comprehensive approach to thermal expansion and cooling experiments
Authors: Baotong Somchai , Nedkun Piyanooch , Chinwong Suriya
Published: February 2025

This study presents an advanced experimental setup designed to enhance the learning experience in physics laboratories by integrating Internet of Things (IoT) technology. The traditional thermal expansion experiment, which typically focuses solely on measuring the expansion of materials due to temperature changes, has been modified to study both thermal expansion and Newton’s law of cooling. The experiment uses various sensors and modules, including ESP32 microcontrollers, DS 18B20 temperature sensors, a digital indicator, and an ESP32 CAM module for online viewing. The modified setup supports real-time data collection, remote monitoring, and comprehensive analysis of multiple related physical phenomena. This IoT-integrated system overcomes the limitations of traditional setups, such as the absence of real-time data visualization and limited analysis capabilities. It provides a more interactive and accessible method for conducting thermal experiments. ThingsBoard Community Edition further enhances the remote accessibility and control of the experimental setup, making it well-suited to remote learning environments. The experimental results show the effectiveness in providing accurate and reliable data, improving the experience.
Spectroscopic study for the role of polymer binding agent in the quasi-harmonic field emission behavior of polymer graphite field emission cathodes
Authors: Allaham Mohammad M , Daradkeh Samer I , Košelová Zuzana , Dallaev Rashid , Sobola Dinara , Knápek Alexandr
Published: February 2025

Graphite-based microcathodes have shown significant performance when operated as cold field emission electron sources. Specifically mentioned, cathodes that have been prepared from highly ordered pyrolytic graphite and polymer graphite pencil leads. Such cathodes are characterized by low operating voltages, a long lifetime, a cheap fabrication price, and a stable emission current. Recently, it was shown that polymer graphite cold field emission cathodes have a unique quasi-harmonic field emission behavior, where the process included emission of pulses of electrons with relatively higher emission current values. However, this behavior has not been reported for other graphite-based materials. In this paper, we study the effects of the polymer binding agent on the charge carriers’ flow through the surface of polymer graphite using Raman-current spectroscopy. The results from polymer graphite were then compared to cathodes prepared from colloidal graphite conductive paint when deposited on a glass substrate. The results showed that the I(D)/I(G) ratio of polymer graphite had a fluctuating behavior, which was not the case for colloidal graphite, which had a more stable structure.
Load balancing control method for smart grid based on wireless sensor network
Authors: Wei Jie , He Xing
Published: February 2025

Wireless Sensor Network (WSN), as the terminal information sensing unit of a smart grid, dynamically adjusts power distribution by monitoring the load situation of the grid in real time, and achieves the balance and optimization of grid load. Therefore, this paper proposes a smart grid load-balancing control method based on wireless sensor networks. This method uses wireless sensor nodes deployed at key locations in the power grid to collect operational data and utilizes a hybrid paper swarm algorithm for data processing and analysis to accurately predict and intelligently regulate power grid loads, thereby effectively improving the operational efficiency and stability of the power grid. The experimental results show that the smart grid load balancing control method based on wireless sensor networks proposed in this paper can accurately predict the grid load and effectively achieve load balancing and optimization. Compared with traditional methods, this method has higher prediction accuracy, faster response speed, and stronger robustness.
A multi-channel meter smart communication method based on low-voltage power line broadband carrier
Authors: Si Yadong , Wang Lei , Zhang Honghao , Chen Huayu , Guo Qi , Yu Keran , Liu Xinyue
Published: February 2025

The conventional meter intelligent communication method establishes a communication network with an existing network, which is affected by background noise, impulse noise, and so on, and the communication quality is degraded. Therefore, a multi-channel meter intelligent communication method based on a low-voltage power line broadband carrier is designed. The characteristics of low-voltage power line broadband carriers for meter communication are extracted, and the background noise and impulse noise of power line carrier communication are analyzed to determine the impedance characteristics of the meter communication channel. Based on the low-voltage power line broadband carrier, the meter intelligent communication network is generated, and the fast path of meter communication is evaluated to meet the demand of multi-channel communication of the meter. Comparison experiments are used to verify that the method has a better quality of intelligent communication and can be applied in real life.
Algorithm for optimal power allocation at the DC inlet of a photovoltaic storage direct-supply system
Authors: Wu Aqin , Tang Lingjie , Zhou Xiong , Hou Qiyun , Chen Yunfeng
Published: February 2025

The conventional power optimization configuration algorithm mainly focuses on static configuration and does not take into account the dynamic changes in photovoltaic output, which affects the final configuration balance. Therefore, a power optimization configuration algorithm for the DC access port of the optical storage DC flexible system was designed. With the goal of stabilizing the unbalanced power of the access port, a DC access port power optimization configuration model for the optical storage direct flexible system is constructed to optimize the energy storage capacity of the optical storage direct flexible system and meet the power optimization configuration requirements of the access port. By optimizing the allocation of high and low-frequency power components at the DC access port and eliminating the integral effect of power command configuration in the optical storage DC flexible system, stable DC power access can be achieved. Comparative experiments were conducted to verify that the algorithm has better performance and can be applied in practical life.
Exploring spatial dispersion in helical wired media: an effective field theory approach
Authors: Kazinski P O , Korolev P S
Published: February 2025

The study investigates electromagnetic wave propagation in helical media exhibiting spatial dispersion. A general permittivity tensor with helical symmetry is derived, and its specific form for conducting spiral wires with pitch

2
π

/

|

q
|

and chirality

sgn

(
q
)

is examined. Solutions to Maxwell’s equations in the paraxial limit are obtained, and the dispersion law, polarization, and Poynting vector integral curves are analyzed. The medium features polarization-dependent forbidden bands in the photon dispersion law, with tunable widths and positions. For helix angles α not close to

π

/

2

and plasma frequencies

ω
p

≪

|

q
|

, there are two chiral forbidden bands: one near ω
p with a width of order

|
q
|

, and a narrower one near

|
q
|

. As

α
→
π

/

2

, the first band becomes a total forbidden band, and if

ω
p

≫

|

q
|

, the second band broadens into a wide polarization-dependent forbidden band, allowing only photons with a single linear polarization to pass while rotating their polarization plane. In the nonparaxial regime, solutions in the WKB approximation are discussed, and scattering of electromagnetic waves by a slab of this helical medium is also considered.
Integrable and superintegrable quantum mechanical systems with position dependentmasses invariant with respect to one parametric Lie groups. 2. Systems with dilatation and shift symmetries.
Authors: Nikitin Anatoly G
Published: February 2025

3d quantum mechanicalsystems with position dependent masses (PDM) admitting at least one second order integral of motion and symmetries with respect to dilatation or shift transformations are classified. Twenty seven such systems are specified and the completeness of the classification results is proved. In this way the next step to thecomplete classification of integrable PDM system is realized.
Local density of states for different cancer cells in a one-dimensional photonic biosensor
Authors: Segovia-Chaves Francis , Navarro Barón Erik , Vinck-Posada Herbert
Published: February 2025

In this work, we use dyadic Green’s functions to calculate local density of states in a finite-size one-dimensional photonic crystal surrounded by air. The crystal composes alternating layers of polymer materials, with its translational periodicity disrupted by the introduction of a cavity. Its optical properties are affected by variations in the polymers’ dielectric constant under applied pressure, and the cavity is infiltrated with four types of cells: Normal, Jurkat, PC12, and MCF-7. Our findings reveal that, within the photonic band gaps, the local density of states reaches a maximum, a characteristic of localized modes. We show that when the dielectric constant of each cell type is increased, the localized mode shifts to shorter frequencies, exhibiting a specific value for the local density of states. Furthermore, we report that the localized mode shifts to higher frequencies when pressure increases while reducing the local density of states.
Design a novel asymmetric chamfered on consequent-pole vernier permanent-magnet machine for electric propulsion vessel
Authors: Luo Chao , Shou Jiabo , Ma Jien , Qiu Lin , Fang Youtong
Published: February 2025

This article proposes a novel asymmetric chamfering consequent-pole Vernier permanent magnet (CPVPM) rotor topology of torque enhancement and torque ripple reduction for electric propulsion vessels. The rotor structure is featured by the asymmetric chamfered structure applied on the CP adjacent to the PMs. It is demonstrated that without any modification of high price and limited storage of rare-earth PM materials employed for the rotor, the torque density of the machine with an asymmetric chamfering can be effectively increased. The influence of key asymmetric chamfered parameters of the CPVPM machine on torque and torque ripple characteristics are investigated. Then, the presented asymmetric chamfered machine, along with a prior symmetric chamfered machine, has been meticulously designed and globally parametrically optimized. Both machines share identical specifications, including stator dimensions, rotor diameter, and permanent magnet (PM) utilization. Moreover, the mechanical characteristics and efficiency of the proposed motor are analyzed comprehensively. Finally, our investigation indicates that even a minor refinement in the novel asymmetric chamfered structure can further mitigate flux leakage issues, elevate torque density, and reduce torque ripple.
The Social Capital Imperative
Authors: Cullen-Lester Kristin L , Pryor Greg
Published: February 2025

Networks impact employees’ job performance, development, career growth, and overall well-being, ultimately enabling or undermining how an organization functions. This chapter identifies fundamental shifts in the business environment, which, if not addressed, will lead to collaborative overload, inadequate agility in the face of change, and declining well-being. However, this chapter proposes that by prioritizing intentional connections, organizations can achieve positive outcomes (e.g., empower teamwork, bridge silos, accelerate innovation, and increase belonging). Adding a social capital lens to the historical human capital lens used by organizations is no longer just “nice to do,” but an imperative. Decades of research point to opportunities to use network science to address major business challenges, yet social capital solutions have not captured practitioners’ attention and imagination. This chapter explains how the book guides practitioners in revealing novel insights from network analysis and taking action to create impact by developing and leveraging networks within their organization.
Conducting Network Analysis to Deliver Organizational Insights
Authors: Hines Scott
Published: February 2025

Employees are immersed in a complex web of social connections within organizations, significantly influencing information flow, resource distribution, and individual behaviors. Network analysis offers a powerful approach to examine these dynamics. This chapter explores active and passive data collection methods, highlighting the benefits and challenges of each approach. It then presents a range of network centrality metrics that can identify key individuals based on their activity, control, efficiency, and overall importance within the network. Importantly, the chapter discusses how to effectively convey network insights to organizational leaders through visualizations and role-based categorizations. Finally, it demonstrates the application of network analysis to address diverse organizational challenges, from onboarding and change management to fostering innovation and optimizing structures. By harnessing the insights from network analysis, organizations can navigate the complexities of the modern workplace and drive transformative change.
Bridging Cultures Through Influencers in Postacquisition Integration
Authors: Vicsek Andras
Published: February 2025

Navigating the complexities of postacquisition cultural integration is critical for organizational success. This chapter presents a comprehensive examination of how influencers within an organization can play a critical role in merging distinct cultures following an acquisition. Through a case study of a telecommunications company undergoing significant cultural shifts after being acquired, the chapter explores the deployment of organizational network analysis to map influence patterns and reveal key internal influencers. This case demonstrates how leveraging these influencers facilitates transparent communication and inclusive leadership, effectively addressing cultural misalignment and fostering a unified organizational identity. The process is articulated in three phases: mapping influence, revealing influential individuals, and harnessing their potential to guide the organization through the transition. This approach not only mitigated the adverse impacts of cultural clashes but also enhanced employee engagement and retention, showcasing the strategic value of influencers in ensuring the smooth integration of merged entities.
Crowdsourcing Organizational Structure Through Social Network Analysis
Authors: Floyd Theresa , Labianca Giuseppe (Joe) , Patrick Brad
Published: February 2025

This case describes how insights from social network analyses can inform leadership’s decision-making around organizational structure to optimize workflows and structural and cultural integration after a large merger. It used a whole network survey to seek employee feedback on who they were currently collaborating with and who they would like to work more closely with in the future. This information informed recommended changes to the organizational structure that improved the new product development process in a large U.S. consumer goods manufacturer. In this same organization, data were collected about interdepartmental collaboration to suggest changes to improve the organization’s main “create, make, move, and sell” processes during a postmerger integration initiative and employees’ perceptions and attitudes were measured to provide suggestions for improving cultural integration among two legacy companies. In sum, this case demonstrates novel methods for eliciting systematic employee-crowdsourced inputs to guide leaders in making structural changes in their organizations.
Domesticating Black Women
Authors: Tischler Julia
Published: February 2025

Chapter 5 discusses domestic education programmes for African women, which wilfully ignored their central role in productive farming. Instead, African women’s education revolved narrowly around domestic concerns—hygiene, childcare, nutrition, poultry, and vegetable farming at most—and projected a clear division between the outside world of farming and the internal sphere of the household that had little to do with the reality of life in the reserves. However, I argue that domestic education did not result in a simple clash between imposed European gender norms and African realities, as has been suggested in the existing research; instead, African women themselves were able to negotiate the meaning of domesticity, combining the Victorian ideal with their own notions of respectability, agency, and class distinction.
GCLink: a graph contrastive link prediction framework for gene regulatory network inference
Authors: Yu Weiming , Lin Zerun , Lan Miaofang , Ou-Yang Le
Published: February 2025

Motivation

Gene regulatory networks (GRNs) unveil the intricate interactions among genes, pivotal in elucidating the complex biological processes within cells. The advent of single-cell RNA-sequencing (scRNA-seq) enables the inference of GRNs at single-cell resolution. However, the majority of current supervised network inference methods typically concentrate on predicting pairwise gene regulatory interaction, thus failing to fully exploit correlations among all genes and exhibiting limited generalization performance.

Results

To address these issues, we propose a graph contrastive link prediction (GCLink) model to infer potential gene regulatory interactions from scRNA-seq data. Based on known gene regulatory interactions and scRNA-seq data, GCLink introduces a graph contrastive learning strategy to aggregate the feature and neighborhood information of genes to learn their representations. This approach reduces the dependence of our model on sample size and enhance its ability in predicting potential gene regulatory interactions. Extensive experiments on real scRNA-seq datasets demonstrate that GCLink outperforms other state-of-the-art methods in most cases. Furthermore, by pretraining GCLink on a source cell line with abundant known regulatory interactions and fine-tuning it on a target cell line with limited amount of known interactions, our GCLink model exhibits good performance in GRN inference, demonstrating its effectiveness in inferring GRNs from datasets with limited known interactions.

Availability

The source code and data are available at https://github.com/Yoyiming/GCLink

Supplementary information

Supplementary data are available at Bioinformatics online.