bluuebunny/crossref_metadata_2025_split huggingface dataset:
Employee Commitment and Cognitive Engagement as Moderators in the Relationship Between Quality of Work Life and Work Life Balance: A Conditional Moderated Moderated‑Mediation Model
Authors: Michael Annie Riya , Maria Gnana Muhila , George Hesil Jerda , Jayacyril Christina Maria , Parayitam Satyanarayana 
Published: January 2025

ABSTRACTThe well‐being of employees in the banking industry remains vital in the quality of work life (QWL) and work life balance (WLB) research. Building on need‐satisfaction theory and spillover theories, this research tests a model that examines the effects of work‐family conflict (WFC) and family‐work‐conflict (FWC) on the QWL of bank employees in India. Further, the nexus between QWL, job satisfaction, life satisfaction, and WLB are investigated. This study also examines the moderating effect of employee commitment and cognitive engagement of employees in enhancing job satisfaction. Data were collected from 597 employees in four cities from southern India to test the moderated moderated‐mediation model. After checking the measurement properties of the survey instrument using the LISREL package of structural equation modeling, hierarchical regression, and PROCESS macros were used to validate the model. The key findings indicate that (i) WFC and FWC have adverse effects on QWL, (ii) QWL is positively associated with job satisfaction and life satisfaction, (iii) job satisfaction mediated the relationship between QWL and life satisfaction, and (iv) life satisfaction is a significant predictor of WLB. The results also supported that employee commitment strengthened the relationship between QWL and job satisfaction. Further, cognitive engagement (second moderator) and employee commitment (first moderator) interacted with QWL in influencing job satisfaction. The three‐way interaction between QWL, employee commitment, and cognitive engagement is a novel idea that significantly contributes to the literature on organizational behavior and human resource management. This study provides valuable insights for future researchers and practicing managers.
Production and transfer of essential fatty acids in a man‐made tropical lake ecosystem
Authors: Taipale Sami Johan , Rigaud Cyril , Calderini Marco Lucas , Asikainen Harri , Litmanen Jaakko Juhani , Vesamäki Jussi Severi , Ndebele‐Murisa Mzime Regina , Nhiwatiwa Tamuka 
Published: January 2025

AbstractEssential biomolecules, such as physiologically essential fatty acids, can critically influence consumers' performance and the ecosystem's functioning. Eicosapentaenoic (EPA; 20:5ω3) and docosahexaenoic (DHA; 22:6ω3) fatty acids are physiologically crucial for consumers, and they must be either obtained from the diet or bioconverted from precursors. We monitored the synthesis of EPA and DHA by primary producers in the largest man‐made ecosystem (Lake Kariba) and in situ fatty acid production, trophic transfer, and endogenous production of EPA and DHA in the tropical lake food web using 13C‐labeling, compound‐specific isotopes, and gene expression of fads2 and elovl5 genes in most abundant fish species. Seston pigment analysis and 23S rRNA sequencing revealed that cyanobacteria dominated primary producers throughout three seasons, and the biosynthesis rate of EPA and DHA was under the detection limit. Moreover, due to the low zooplankton densities and EPA and DHA content in zooplankton, the transfer of EPA and DHA from phytoplankton–zooplankton to upper trophic levels is low. The low production of EPA and DHA by primary producers is mitigated by bioconversion of α‐linolenic acid to EPA and DHA in two tilapia species, especially by Nile tilapia (Oreochromis niloticus) known to feed on cyanobacteria. Compound‐specific isotope analysis revealed that tigerfish (Hydrocynus vittatus), the main predatory fish on the lake, was more closely related to Nile tilapia than to lake planktivorous fish (Limnothrissa miodon). Therefore, trophic interaction between cyanobacteria and algivorous fish has replaced traditional phytoplankton and zooplankton trophic interaction in the synthesis and transfer of EPA and DHA to upper trophic levels.
The Impact of Green Finance on Enterprise Environmental Strategies: Source Prevention or End‐Of‐Pipe Treatment?
Authors: Wang Lin , Li Yuning , Zeng Huixiang 
Published: January 2025

ABSTRACTBased on the quasinatural experiment of China's green finance reform and innovation pilot zones (GFRIs), the impact of GFRIs on the environmental strategies of heavy‐polluting enterprises is discussed. The results show that after the implementation of GFRIs, heavy‐polluting enterprises are more inclined to end‐of‐pipe treatment than source prevention. Alleviating financing restrictions and enhancing external attention are potential channels for GFRIs to induce enterprises to adopt end‐of‐pipe treatment. Additionally, we explore the governance boundaries of GFRIs for heterogeneous characteristics of enterprises and the market environment. The findings enrich the research related to the economic consequences of GFRIs and provide empirical evidence to formulate the next step of pilot expansion.
Relaxometry and contrast‐free cerebral microvascular quantification using balanced steady‐state free precession MR fingerprinting
Authors: Coudert Thomas , Delphin Aurélien , Barrier Antoine , Legris Loïc , Warnking Jan M. , Lamalle Laurent , Doneva Mariya , Lemasson Benjamin , Barbier Emmanuel L. , Christen Thomas 
Published: January 2025

AbstractPurposeThis study proposes a novel, contrast‐free Magnetic Resonance Fingerprinting (MRF) method using balanced Steady‐State Free Precession (bSSFP) sequences for the quantification of cerebral blood volume (CBV), vessel radius (R), and relaxometry parameters (T, T, T*) in the brain.MethodsThe technique leverages the sensitivity of bSSFP sequences to intra‐voxel frequency distributions in both transient and steady‐state regimes. A dictionary‐matching process is employed, using simulations of realistic mouse microvascular networks to generate the MRF dictionary. The method is validated through in silico and in vivo experiments on six healthy subjects, comparing results with standard MRF methods and literature values.ResultsThe proposed method shows strong correlation and agreement with standard MRF methods for T and T
values. High‐resolution maps provide detailed visualizations of CBV and microvascular structures, highlighting differences in white matter (WM) and gray matter (GM) regions. The measured GM/WM ratio for CBV is 1.91, consistent with literature values.ConclusionThis contrast‐free bSSFP‐based MRF method offers an new approach for quantifying CBV, vessel radius, and relaxometry parameters. Further validation against DSC imaging and clinical studies in pathological conditions is warranted to confirm its clinical utility.
Experimental investigation on hole bearing behavior and failure mechanism of double‐lap hybrid composite/titanium bolted joints
Authors: Liu Dongxu , Zhang Deyuan 
Published: January 2025

AbstractIn this paper, a new co‐curing process for hybrid titanium alloy foils into composite laminates was put forward. Meanwhile several pull‐out specimens were tested to obtained the bonding response between titanium alloy and composites. And the size of titanium alloy foils in double‐lap hybrid composite/titanium bolted joints were designed according to the response. Then these double‐lap bolted joints were fabricated and tested. The test results revealed that hole bearing responses of hybrid specimens were significantly better than composite specimens. Moreover, the hole bearing strengths of hybrid specimens with 33% titanium content were more 40% higher than composites specimens. And the degree of bearing strength enhancement exceeded the degree of weight gain of the specimen. Meanwhile, the hole damage morphologies of these double‐lap specimens were characterized. It could be found that the edge length had a significant effect on the failure form of the double‐lap bolted joints, and the area affected by hole failure could be significantly reduced by increasing the edge length appropriately. The structure of hybrid titanium alloy foils within a bolted joint area of composite laminates will provide a reference for improving hole bearing strength.Highlights
A new co‐curing process for hybrid titanium alloy foils into composite laminates was created.
Hole bearing strengths of hybrid composite/titanium bolted joints are higher than composite specimens.
Increasing the edge length can effectively reduce the area of the hole failure affected zone.
Resource‐Efficient Adaptive Variational Quantum Algorithm for Combinatorial Optimization Problems
Authors: Wu Sheng‐Yao , Song Yan‐Qi , Li Run‐Ze , Qin Su‐Juan , Wen Qiao‐Yan , Gao Fei 
Published: January 2025

AbstractVariational quantum algorithms (VQAs) are quantum‐classical hybrid algorithms that are promising for the near future. The Quantum Approximate Optimization Algorithm (QAOA) is a representative VQA for solving combinatorial optimization problems. However, the parameterized quantum circuit (PQC) of QAOA still has room for improvement. The existing method, called ADAPT‐QAOA, has improved the PQC of QAOA, but the circuit depth remains deep. A Resource‐Efficient Adaptive VQA (RE‐ADAPT‐VQA) that utilizes gates from a new gate pool is proposed to construct a PQC. RE‐ADAPT‐VQA incrementally integrates parameterized quantum gates based on the gradient until the predefined stopping criteria are satisfied, and a rollback mechanism is proposed to ensure that the circuit remains shallow. The algorithm is experimentally simulated to solve Max‐Cut problem and the maximum independent set problem. The results show that RE‐ADAPT‐VQA significantly reduces circuit depth, single‐qubit gates, and CNOT gates compared to existing methods, while maintaining the same level of energy error.
Hardware‐Efficient Quantum Random Access Memory Design with a Native Gate Set on Superconducting Platforms
Authors: Wang Yun‐Jie , Zhang Sheng , Sun Tai‐Ping , Zhao Ze‐An , Xu Xiao‐Fan , Zhuang Xi‐Ning , Liu Huan‐Yu , Xue Cheng , Duan Peng , Wu Yu‐Chun , Chen Zhao‐Yun , Guo Guo‐Ping 
Published: January 2025

AbstractQuantum Random Access Memory (QRAM) is a critical component for enabling data queries in superposition, which is the cornerstone of quantum algorithms. Among various QRAM architectures, the bucket‐brigade model stands out due to its noise resilience. This study presents a hardware‐efficient native gate set for implementing bucket‐brigade QRAM on superconducting platforms. The experimental feasibility of the proposed gate set is demonstrated, showing high fidelity and reduced complexity. By leveraging the complementary control property in QRAM, the approach directly substitutes the conventional gates with the new gate set, eliminating decomposition overhead and significantly reducing circuit depth and gate count.
Quantifying Quantum Steering with Limited Resources: A Semi‐supervised Machine Learning Approach
Authors: Lu Yansa , Chen Zhihua , Ma Zhihao , Fei Shao‐Ming 
Published: January 2025

AbstractQuantum steering, an intermediate quantum correlation lying between entanglement and nonlocality, has emerged as a critical quantum resource for a variety of quantum information processing tasks such as quantum key distribution and true randomness generation. The ability to detect and quantify quantum steering is crucial for these applications. Semi‐definite programming (SDP) has proven to be a valuable tool to quantify quantum steering. However, the challenge lies in the fact that the optimal measurement strategy is not priori known, making it time‐consuming to compute the steerable measure for any given quantum state. Furthermore, the utilization of SDP requires full information of the quantum state, necessitating quantum state tomography, which can be complex and resource‐consuming. In this work, the semi‐supervised self‐training model is used to estimate the steerable weight, a pivotal measure of quantum steering. The model can be trained using a limited amount of labeled data, thus reducing the time for labeling. The features are constructed by the probabilities derived by performing three sets of projective measurements under arbitrary local unitary transformations on the target states, circumventing the need for quantum tomography. The model demonstrates robust generalization capabilities and can achieve high levels of precision with limited resources.
Single Photon Sources from 2D‐Materials and Interfacing with Waveguides for Quantum Technological Applications
Authors: Raj Akriti , Sahu Swapnasagar , Narayani Peddarapu Lakshmi , Sharma Lakshminarayan , Banerjee Siddharth , Tripathi Laxmi Narayan 
Published: January 2025

AbstractPhotonic quantum technological applications require single photon sources as sources of qubits. Two‐dimensional (2D) material platforms have emerged as deterministic, scalable, and on‐chip integrated sources of single photons. Generation and control of the sources remain challenging yet rewarding research problems. Interfacing the sources with waveguides is a significant task for integrated quantum technological applications such as quantum information processing, quantum cryptography, and quantum networking. In this work, a comprehensive review of the formation and control of single photon sources from 2D materials is presented. The creation and control of these quantum emitters working both at room and low temperatures are critically analyzed. The methodology of deterministic formation and position‐controlled single photon sources are elaborated and pictorially explained. Major single photon sources are compared from various 2D and other resources. In the end, the application of single photons in quantum technological applications such as quantum communications, quantum computation, and quantum sensing are discussed.
A High‐Order Finite‐Time Observer for External Force Estimation of Collaborative Robots
Authors: Li Zeyu , Wei Hongxing , Liu Chengguo , Zhang Haochen , Wei Yifan , Liu Gang 
Published: January 2025

ABSTRACTThe ability to rapidly and accurately estimate external forces applied to collaborative robots is crucial for ensuring safe physical human‐robot interaction and minimizing injury risk from potential collisions. In this research, a novel finite‐time observation method for sensorless collaborative robots to estimate time‐varying external forces is put forward. First, a generalized finite‐time observer is constructed by integrating generalized momentum dynamics and adding fractional power terms into the classical higher‐order finite‐time method to achieve the estimation of time‐varying external forces using joint control torque. A performance analysis approach is introduced to assess this higher‐order finite‐time observer with mixed fractional power terms, demonstrating optimization of dynamic response speed and steady‐state robustness. Furthermore, a Lyapunov‐based recursive verification is provided to confirm the finite‐time convergence and convergence bounds of this generalized observer. Finally, experiments are conducted on the AUBO I5 robot in two practical scenarios. The results demonstrate that the proposed observer significantly improves the detection speed of collision force by more than 5%, while simultaneously reducing the estimation error by over 4% in comparison to those of the existing finite‐time observers. Moreover, the estimation error of time‐varying interaction force is reduced by over 23% in comparison to existing ones. Furthermore, the collision detection and safe response experiments of a real collaborative robot body and end‐effector have been successfully accomplished.
Comparison of soil Mehlich‐3 phosphorus quantified by colorimetry and inductively coupled plasma: A case study for temperate agroecosystems
Authors: Ziadi Noura , Gagnon Bernard , Lafond Jean , Coté Sylvie , Bipfubusa Marie 
Published: January 2025

AbstractPhosphorus (P) is one of the most limiting essential nutrients for agricultural production and its availability to crops is assessed by various methods. Mehlich‐3, however, remains the most used method worldwide. For decades, the colorimetric method by blue ascorbic acid‐molybdate reaction has been used to determine soil P concentration following Mehlich‐3 extraction. Since early 1990s, the use of automated methods to quantify soil nutrients including P has expanded rapidly, and the inductively coupled plasma (ICP) emission spectroscopy is becoming one of the most popular instruments in routine soil testing. The main objective of this study was to compare ICP (where M3P is Mehlich‐3 P, M3P‐ICP) with colorimetric (M3P‐Col) methods to estimate soil P using data from soil samples (3020) collected between 2005 and 2021 from 16 experiments conducted under different agroecosystems in Canada and Europe. Five case studies were assessed: (1) laboratory incubation, (2) native lowbush blueberry, (3) soil depth, (4) soil tillage, and (5) annual field crops versus perennial forage. In each study, a regression equation was established between soil M3P‐ICP and M3P‐Col. Results indicated that the two methods were strongly related in all studies (0.82 < r2 < 0.99; p < 0.001), where soil P measured by ICP (2.1–352 mg kg−1) was higher than that measured by colorimetry (0.6–339 mg kg−1) except for the incubation study. Most important P differences were observed with forage and blueberry. Further analysis revealed that large differences between M3P‐ICP and M3P‐Col occurred primarily due to soil total C content. Soil pH, clay and Fe content, and previous crops also affected the relationship.
Decades of coffee plantation alters soil methane uptake and soil organic carbon pools in China
Authors: Zhang Fulan , Sun Hao , Raza Syed Turab , Zhu Yingmo , Yin Wen , Fan Danhua , Ma Rongjun , Rong Li , Ye Tao , Chen Zhe 
Published: January 2025

AbstractThe conversion of forest into coffee plantation through deforestation has become one of the main land use changes in tropical region, yet its impact on soil organic carbon (SOC) and methane (CH4) uptake remains unclear, leading to uncertainties in estimating carbon fluxes in tropical area. The main coffee planting areas in China and the adjacent forests were selected to explore the effects of forest‐to‐coffee conversion and coffee stand ages on SOC and CH4 uptake. We conducted our study by comparing coffee plantations of varying ages to the nearby forests within the same area. We treated the different‐aged coffee plantations as our experimental groups and used the forests as our control groups. This paired comparison allowed us to exclude external factors such as climate, soil type, and vegetation differences, ensuring that our analysis focused on the effects of stand age alone. The 25‐year, 43‐year, and 55‐year coffee plantations reduced SOC by 51%, 66%, and 65% compared to nearby forests, while soil microbial biomass carbon decreased by approximately 60%. Coffee stand age influenced ambient CH4 uptake significantly: soils in 43‐ and 55‐year‐old coffee plantations and natural forests acted as CH4 sinks, while the 25‐year‐old stand showed weak CH4 emission. In 25‐year, 43‐year, and 55‐year coffee plantations, the CH4 uptake rates were 87%, 54%, and 65% lower, respectively, compared to the CH4 uptake rates in the natural forests nearby. Soil moisture, inorganic nitrogen content, and CH4 monooxygenase (MMO) activity were the main factors affecting CH4 uptake rates across land uses in the ambient CH4 background. Further CH4 metabolism indicated a close relationship between ambient CH4 uptake, CH4 oxidation, and methanogenesis pathways. Our study highlights the reduction of SOC pools in coffee plantations in China is accompanied with the reduction of CH4 uptake and changed metabolism of CH4‐oxidizing microorganisms.
Applying AIXE to Compare Domestic Smart Speakers
Authors: Spallazzo Davide , Sciannamè Martina , Ceconello Mauro 
Published: January 2025

Abstract
The chapter describes and analyses the results of a comparative study conducted on domestic smart speakers and aimed at assessing the user experience they entail. About 1400 respondents from US and UK answered the AIXE (AI user eXperience Evaluation) questionnaire, evaluating the smart speaker they commonly use in their daily life (typically, Amazon Echo, Google Nest, and similar). The results provide an overview of different UX dimensions deemed relevant by the users and highlight different performances of the analysed devices.
Networks abroad and culture: global individual-level evidence
Authors: Turati Riccardo 
Published: January 2025

Abstract
This paper analyzes whether natives with a network abroad have a distinctive cultural stance compared to similar individuals without such connections within the same region. Using individual-level data on connectedness from the Gallup World poll across 2256 within-country regions over 148 countries, it characterizes individuals’ cultural stance based on three traits: pro-social behavior, religiosity, and gender-egalitarian attitudes. The paper shows that natives who have a connection abroad are characterized by stronger pro-social behavior, religiosity, and gender-egalitarian attitudes. To address potential biases arising from omitted variables, it controls for an extensive array of individual characteristics and region-by-year fixed effects. The results are robust to employing comprehensive measures of connectedness, employing matching techniques, and assessing selection biases related to unobservable factors. Finally, by leveraging both country and individual-level heterogeneity, the analysis indicates that the pro-social behavior stance of connected individuals is fairly consistent across different contexts and individuals, while the findings on religiosity and gender-egalitarian attitudes are more sensitive to local and individual factors. The paper therefore shows that factors enhancing or dampening this relation are cultural trait specific.
A prospective ecological momentary assessment study of an ayahuasca retreat: exploring the salutary impact of acute psychedelic experiences on subacute affect and mindfulness skills in daily life
Authors: Sznitman Sharon R. , Behar Yoel A. , Dicker-Oren Sheila Daniela , Shochat Tamar , Meiri David , Butto Nader , Roe David , Bernstein Amit 
Published: January 2025

Abstract

Rationale
To examine the acute effects of ayahuasca use and their relationship to sub-acute changes in affect and mindfulness in a non-clinical sample, addressing the need for a better understanding of ayahuasca’s immediate and short-term impacts as interest in its use grows.

Objectives
Using prospective ecological assessment, this study investigates how ayahuasca used at a 4-day retreat affects positive/negative affect and mindfulness skills in daily living compared to pre-retreat. Additionally, we explore acute psychedelic experiences during the ayahuasca retreat, assessed retrospectively 1–2 days post-retreat, as potential mechanisms for theorized effects in daily living post-retreat.

Methods
Thirty-six participants reported positive/negative affect and mindfulness skills three times daily for 5 days before and after the retreat. Baseline assessments included lifetime psychedelic experience, and post-retreat assessments covered acute ayahuasca experiences. Mixed-effect linear models were used to analyze the data.

Results
Post-retreat, we observed reduced negative affect, increased positive affect, and enhanced mindfulness skills in daily living. Ayahuasca-induced acute experiences, such as time/space transcendence, emotional breakthrough and challenging experiences predicted greater subacute positive affect. Notably, none of these experiences were linked to subacute improvements in negative affect or mindfulness. No participants showed clinically significant adverse responses post-retreat, and only 5.5% exhibited some degree of potentially clinically significant deterioration in affect.

Conclusions
Ayahuasca use may lead to improvement in mood and mindfulness skills, and key acute psychedelic experiences induced by ayahuasca may be important to some of these salutary effects, positive affect in particular.