bluuebunny/crossref_metadata_2025_split huggingface dataset:
Redefining Archival Reference: Relationship-based Reference
Authors: Duff Wendy , Ho Jessica , Sato Christa , Aton Henria , Deziak Peter , Regehr Cheryl 
Published: July 2024

ABSTRACT
This article argues that archival access systems require a new archival ecosystem (physical infrastructure, access tools, e.g., catalogs, findings aids, indexes, rules policies procedures, and institutional supports) and a broader conceptual framing. Based on the findings from sixteen interviews with archivists, this article proposes a multifaceted, relationship-based access framework. The framework focuses on supporting users studying difficult histories or members of oppressed communities in a physical archives but also highlights elements that all users might appreciate.
(Re)Appraising Our Archival Identity: Demystifying the Process and Changing the Dialogue about Promotion and Tenure for Academic Archivists
Authors: Scott Elizabeth M. , Moyer Heidi Abbey , Hankins Rebecca , Walton Rachel 
Published: July 2024

ABSTRACT
Within the archival discourse, there has been minimal research or dialogue about the processes and experiences for academic archivists associated with earning promotion and tenure. Recent reviews of the literature suggest that this topic remains largely unexplored in archivists’ professional and scholarly conversations, despite its pivotal influence on job security, advancement, and identity for those working in academia. This article intends to explain and demystify the procedures and best practices for navigating promotion and tenure by providing guidance and insight for archivists throughout their careers. Furthermore, the authors aim to expose the culture of silence surrounding the promotion and tenure process for archivists while also underscoring the power dynamics involved in evaluation activities. This research explores how these actions have impacted historically underserved and marginalized groups and encourages our archives community to counter these forces through professional awareness and by embracing and applying diversity, equity, inclusion, belonging, and accessibility principles. The authors advocate for a framework that solidifies, clarifies, and encourages increased transparency in the promotion and tenure process and offer profession-wide recommendations to help make this change. Finally, this article serves as a call to action for rethinking our professional identity by championing our collective contributions to the higher education landscape and distinguishing the specialized expertise of archivists from that of our librarian colleagues in the academy.
“Taking Our Own Measure”: Archival Engagement and Storytelling
Authors: Meehan Jennifer 
Published: July 2024

ABSTRACT
As archivists are increasingly called upon to measure and demonstrate our value, it is vital to consider not only what we are measuring and why, but also what is beyond measure (what can't be captured by data and metrics) and how we communicate value beyond what can necessarily be measured. In exploring these questions, the author offers some provisional ideas for reframing the discourse and practice around archival metrics and assessment, and for opening space to “take our own measure” more fully and demonstrate the true value of archives. Looking beyond metrics per se, the author first traces a broader notion of archival engagement as an outcome-oriented and people-centered conceptual frame for contemplating and assessing archival value(s) beyond measure, and then considers the role of storytelling in communicating value and ways for framing our stories in terms of archival engagement to convey meaning and impact.
Changes over a decade of fitness within a Scottish soccer academy and the impact of first team relegation on academy physical profiles
Authors: Craig Thomas P , Maughan Patrick , Clark Dave R , McArdle Michael , Ritchie Jack W , Reid Donald 
Published: July 2024

Introduction: academy soccer practitioners have a responsibility to prepare youth players for the demands of first team. The development of physical capabilities to sustain the high intensity locomotor activities that have been reported in elite soccer is essential. Challenges exist monitoring locomotor targets as resource limitations mean that often academies will not have locomotor data, instead relying on physiological testing to assess whether a player is ready for first team transition. Physiological testing results have a direct relationship with locomotor activity. Physical development has been shown over various longitudinal periods with established progression in speed, change of direction, lower body power and endurance in elite Austrian youths, increases in VO2max in an elite regional French academy and in the interval shuttle run test of over 50% in elite Dutch academy. The success of a club’s academy can lead to increased resource allocation however some organisational challenges such as relegation can have a severe financial impact. The initial aim of the present study was to establish whether previously observed changes in physical capacity were observed in a professional Scottish soccer academy over a ten-year period. A further aim was to assess the impact of first team relegation on academy physical profiles considering the resource implications of relegation. Methodology: a retrospective analysis was completed where Linear Mixed Effect (LME) Models were fitted to explain variation across each measure of physical capacity. Model selection was undertaken with Likelihood Ratio Tests where initial complex models were compared to simpler nested models to arrive at the final model by maximum likelihood. The impact of relegation was assessed by LME models to assess whether physical capacity measures changed post relegation. Ethical approval was granted. Results: 5 m best time reduced by 0.0055 s per year (t = −11.8, p < 0.001), 10 m best time reduced by 0.008 s per year (t = −9.2, p < 0.001), 20 m best time reduced by 0.011 s per year (t = −7.8, p < 0.001). CMJ increased each year depended on age group with the older cohorts showing greater improvement and the YYIR1 distance increased each year varying across age group. Performance of aforementioned physical capacity measures significantly reduced with relegation, except 20 m best time (t = −1.4, p = 0.16). Application: reference values within clubs that establish first team requirements will contribute to appropriate transition strategies. By conducting analyses related to uncontrollable challenges, practitioners can use these results to protect against criticism and withdrawal of resource when physical progression is negatively impacted.
Investigation of aroma carryover risk in a pilot plant and on industrial scale when bottling aromatised and subsequent regular wines on the same filling line
Authors: Gottmann Jörg , Müller David , Vestner Jochen , Schuster Jens , Fischer Ulrich 
Published: July 2024

Aromatised wine-based beverages and regular wines are commonly bottled on the same bottling line. Sealings installed in the bottling line absorb added aroma compounds from the aromatised wine-based beverages and a subsequent release of the absorbed aroma compounds from the sealings was monitored during cleaning sequences and in subsequent products. Such unintentional carryover is associated with the risk of violating the legal ban of any aromatisation of regular wine. If cleaning is carried out according to good manufacturing practice (GMP) and traces of aroma compounds in the subsequently bottled wine show no sensory significance, this unintended aroma carryover will be considered by the German Federal Ministry of Nutrition and Agriculture as technically unavoidable and has no legal consequences. The risk of aroma absorption and aroma carryover have been investigated in different foods (orange juice, milk, and wine) and simulated in model systems using a beaker, but no real bottling scenario had been investigated till now.To fill the knowledge gap we investigated the potential aroma carryover in a pilot plant, and in two different wineries during three bottlings of aromatised wine-based beverages and subsequent regular sparkling wine. Monitoring of installed sealings revealed the uptake of seven aroma compounds and further release of aroma compounds during a recommended cleaning sequence and subsequent contact with wine. A sensory significant aroma carryover into the subsequent wine that had been circulating for 24 hours in the pilot plant was observed only for α-ionone, which exceeded its odour detection threshold in white wine after 8 hours. Regarding the three bottlings of aromatised wine-based beverages and the subsequent sparkling wine, we recorded the uptake of γ-decalactone, eugenol, and trans-cinnamaldehyde in the sealings, and their further diminishment during the implemented cleaning of the wineries and subsequent bottling of a sparkling wine. During the short residence time of the product in the bottling line, no sensory and analytical differentiation of the pre-bottled and bottled sparkling wines was observed.
Optimizing the Assessment of Sarcopenia: Determination of Appendicular Muscle Mass Indices Correlated Best with Physical Function in Turkish Older Adults
Authors: Cataltepe Esra , Ceker Eda , Fadiloglu Ayse , Varan Hacer Dogan 
Published: July 2024

Abstract

Background
Sarcopenia, characterized by skeletal muscle loss, is assessed using appendicular muscle mass indices (ASMI), which adjusts total muscle mass in the arms and legs by dividing body mass index (BMI), weight, or height squared. Various international groups propose different ASMI for assessing sarcopenia. However, the optimal ASMI correlating with physical function in older Turkish adults remains unexplored. This study aims to determine the ASMI that most closely correlates with physical function in older Turkish adults.
Methods
The study included 326 individuals aged 60 and above. Comprehensive geriatric assessments were conducted on all participants, along with anthropometric evaluations and analyses of body composition. ASMI was calculated by adjusting height squared, weight, and BMI. Muscle strength and physical performance were assessed through handgrip strength, gait speed, and the chair stand test.
Results
The mean age was 74 ± 5.77 years. 59.8% were women and 37.5% of the patients had dynapenia. Height-squared adjusted ASMI was not significantly associated with the gait speed test or the chair stand test. However, BMI-adjusted ASMI showed significant correlations with all parameters related to physical performance (p < 0.05). Furthermore, in multivariate regression analysis, BMI-adjusted ASMI (β = 0.028, 95% CI = 0.01–0.31, p = 0.006) was independently associated with lower handgrip strength.
Conclusion
The study suggests that ASMI adjusted by BMI presents better correlations with all physical performance parameters and is independently related to dynapenia. Utilizing ASMI adjusted for BMI could enhance sarcopenia diagnosis in older Turkish adults, though further investigations are warranted.
Housing system significantly modulates the association of serum levels of essential and toxic trace elements and minerals with milk productivity in dairy cows
Authors: Sizova Elena , Miroshnikov Sergey , Notova Svetlana , Skalny Anatoly , Yausheva Elena , Kamirova Aina , Tinkov Alexey 
Published: July 2024

Abstract

The objective of the present study was to evaluate serum trace element and mineral levels in low- and high-productive dairy cows during feedlot and pasture periods. Serum trace element and mineral levels were assessed inductively-coupled plasma mass-spectrometry. The obtained data demonstrate that serum Ca, Mg, K, and Na levels increase significantly in the pasture period, and this increase is more evident in high-productive cows. In turn, circulating levels of B, Co, Cr, Fe, I, and Se levels were characterized by a decrease in the pasture period. Despite the lack of group differences in the feedlot period, serum B, Cr, and Fe levels in the pasture period were higher in high-productive cows. In turn, circulating Co and I concentrations in the low-productive cows exceeded those in high-productive animals. Finally, the levels of toxic trace elements in the pasture period were found to be higher in low-productive cows. Discriminant analysis demonstrated that the groups of cows with different milk productivity were clearly discriminated in the pasture but not feedlot period. In addition, multiple regression analysis revealed a significant inverse and positive association of serum Pb and Cr levels with daily milk yield. Taken together, the obtained data demonstrate that the differences in serum trace element and mineral levels between the low- and high-productive cows are more profound in the pasture period. More beneficial trace element and mineral profile in high-productive cows may hypothetically contribute to higher milk yield. However, further more detailed studies are required to elucidate the mechanisms of this association.
The effect of port integration policy on port green efficiency: Evidence from Zhejiang (China)
Authors: Liao Qingmei , Zhen Hong , Han Tong 
Published: July 2024

Abstract

Zhejiang (China) has several large ports and is an early province in implementing port integration policy. This study evaluates the green efficiency of major ports in Zhejiang (China) for 2019–2022 using the Super-slack-based measure (Super-SBM) model with CO2 emissions. This study provides theoretical and empirical analyses of the effect of integration policy on port green efficiency. The results show that Ningbo and Zhoushan ports have high green efficiency. However, the green efficiency of Taizhou, Jiaxing Inland and Wenzhou Ports needs to be improved urgently because of the massive investment in coastline and berths and high carbon emissions. The port green efficiency can be improved by implementing an integration policy between ports geographically close, such as Ningbo, Zhoushan and Jiaxing ports. Higher port city levels and fixed asset investment positively impact port green efficiency. The findings provide a reference for policymakers to improve the green efficiency of ports.
Electrodeposited polyaniline-carbon felt anode promotes electroactive biofilm for the improved energy recovery in microbial fuel cells using phenol containing wastewater
Authors: Bhandari Subhendu , Pandit Soumya , Pandit Chetan , Ranjan Nishant 
Published: July 2024

Abstract

In the present study, Polyaniline (PANI)/ Carbon Felt (CF) composite electrodes were developed to be used as an anode in a Microbial Fuel Cell (MFC) for the enrichment of specific electroactive organisms on the anode. Comparative analysis of two approaches of Phenol degradation namely adsorption & biodegradation and for simultaneous generation of bio-electricity. Sulfuric acid-doped PANI was electrochemically synthesized in aqueous medium and deposited in-situ on the carbon felt anode followed by its characterization using SEM, XRD, and CV. To use these in MFC, different concentrations of PANI ranging from 0.25 mg/cm2 to 1.25 mg/cm2, was deposited onto CF via potentiostatic electrodeposition technique and compared. The morphological analysis using FESEM of the anode revealed homogenous deposition of nanostructured PANI onto the surface of CF. Further characterization of PANI/CF composite shows that PANI has improved the surface area of the anode, thereby, increasing the conductivity of the anode and promoting biofilm attachment to the anode. The PANI/ CF composite anode with loading rate of 1.0 mg/cm2 showed the best results with maximum power density of 584.2 mW m-2 and lowest charge transfer resistance of 49.6 Ω. The reduction of COD and total phenol of wastewater were 73% and 88% respectively. The obtained results from this study show that the power production and efficiency of the MFCs can be improved greatly by using Sulphate containing PANI/ CF composite as an anode material. The CLSM results indicated that PANI facilitates in promoting EAB biofilm which in turn helps in achieving enhanced power output.
Electret Integrated Magnetic Field Sensor Based on Magnetostrictive Polymer Composite with nT Resolution
Authors: Zimoch Lukas , Schröder Stefan , Elzenheimer Eric , Kaps Sören , Strunskus Thomas , Faupel Franz , Höft Michael , Adelung Rainer 
Published: July 2024

Abstract

The pursuit for advanced magnetoelectric field sensors has gained momentum, driven by applications in various fields, ranging from biomedical applications to soft robotics and the automotive sector. In this context, a capacitive read-out based magnetostrictive polymer composite (MPC) sensor element is introduced, offering a new perspective on magnetic field detection. The sensor element's unique feature is the possibility to independently tailor its mechanical and magnetic properties. When compared to other composite-based magnetic field sensors, the limit of detection (LoD) is three orders of magnitude lower (95.6 nT/√Hz at a resonance frequency of 160.5 Hz). In contrast to other electret-based ME sensors, the LoD is reduced by a factor of 20. To the best of the authors' knowledge, this work marks the first comprehensive attempt to characterize a sensor magnetically, aligning with the thorough assessment standards of ME sensors. This study aims to narrow the disparity between established magnetic field sensors, featuring consistent characterization protocols, and the novel MPC sensors, which often undergo limited magnetic characterization as part of their evaluation. The presented sensor, built from readily available materials, offers a versatile and tuneable platform for magnetic field detection, and ongoing research aims to unlock its full potential in diverse applications.
Nonlinear Modeling And Analysis Of A Metatronic Amplifier Using Harmonic Balance-Finite Difference Frequency Domain Method
Authors: Fadafan Ali Allahpour , Abdipour Abdolali , Askarpour Amir Nader 
Published: July 2024

Abstract

This study introduces a novel numerical method for analyzing the nonlinear behavior of intricate electromagnetic structures, with a specific focus on a metatronic amplifier as a case study. We propose a modified approach that integrates Harmonic Balance (HB) and Finite Difference Frequency Domain (FDFD) methods, tailored for structures featuring anisotropic materials. The combined application of HB-FDFD enables a comprehensive investigation of spatial electromagnetic field distributions and harmonic responses within such structures. Moreover, this method effectively addresses the challenges associated with complex architectures. Additionally, we emphasize the incorporation of effective boundary conditions, as discussed in the paper, to enhance the accuracy of our analysis. Through a comparison with conventional methods, we demonstrate the efficacy of our approach and underscore its broad applicability to various nonlinear electromagnetic devices.
Recognition of Miner Action and Violation Behavior Based on the ANODE-GCN Model
Authors: Yang Chaoyu , Hou Linpeng , Aktar Mst.Mahbuba 
Published: July 2024

Abstract

In response to the challenge of limited accuracy in skeleton-based action recognition algorithms due to missing key points in complex environments under coal mines, enhancements were made to the Info-GCN++ model architecture. We proposed a miner action recognition model named ANODE-GCN, which integrated neural ordinary differential equations (NODE) with graph convolutional networks (GCN). The model predicted future motion sequences by analytically solving NODE in a dimensionally upgraded ODE space and combined these predictions with the actual observed motion states, thereby enhancing the recognition robustness of the model in handling partially missing skeleton sequences. Additionally, we designed a graph convolutional network SC-GC that integrated self-attention and coordinate attention mechanisms to differentiate between similar motion sequences in distinct actions. Ultimately, the miners' basic actions identified were correlated with environmental information to recognize more complex violation behaviors accurately. Experimental results demonstrated that on the public dataset NTU RGB+D120, with skeleton sequences completeness of 40% and 60%, accuracies of 71.96%/78.93% and 77.43%/81.29% were achieved, respectively, based on X-Sub/X-Set evaluation protocols. Ablation experiments based on the X-Sub evaluation protocol indicated that ANODE-GCN had an AUC of 67.13%, 10.75% higher than the Info-GCN++ baseline. On a self-built dataset, ANODE-GCN achieved an action recognition accuracy of up to 89.12% on the low-quality skeleton action test set. When the action information was matched with the environmental information, the average accuracy of miners' violation behavior recognition reached 91.7%, which was 6.7% higher than Info-GCN++.
Integrated multi-objective chance-constrained fuzzy interval linear programming model with principal component analysis for optimizing agricultural water resource management under uncertainties
Authors: Yin Ruoyu , Jin Lei , Fu Haiyan , Fan Yurui , Zhang Xi , Wang Li 
Published: July 2024

ABSTRACT

This study addresses the pivotal challenge of water resource allocation in urban environments by introducing a novel approach – a multi-objective chance-constrained fuzzy interval linear programming model integrated with principal component analysis (PCA). This innovative model aims to alleviate subjectivity in urban water management processes, particularly in adjusting water demands across various sectors. The proposed model incorporates correlation analysis to identify dimensionality-reducing factors of multitarget components, determining the proportion of each target component relative to the total components. Fuzzy sets are applied to irrigation water resource allocation quantity, segmented into six levels of fuzzy membership to analyze the stochasticity of water supply. Results demonstrate the model's efficacy, revealing that variations in risk probabilities impact water supply, necessitating positive water management strategies to enhance agricultural efficiency and negative strategies to mitigate the risk of inadequate water supply. Key findings emphasize the significance of agricultural water availability and the structure of irrigation water use in optimal resource allocation. Importantly, the study showcases the enhanced precision achieved through the proposed multi-objective chance-constrained fuzzy interval linear programming with PCA, thereby refining the optimization outcomes for water management under multifaceted objectives.
Research on urban water demand prediction based on machine learning and feature engineering
Authors: Yan Dongfei , Tao Yi , Zhang Jianqi , Yang Huijia 
Published: July 2024

ABSTRACT

Urban water demand prediction is not only the foundation of water resource planning and management, but also an important component of water supply system optimization and scheduling. Therefore, predicting future water demand is of great significance. For univariate time series data, the issue of outliers can be solved through data preprocessing. Then, the data input dimension is increased through feature engineering, and finally, the LightGBM (Light Gradient Boosting Machine) model is used to predict future water demand. The results demonstrate that cubic polynomial interpolation outperforms the Prophet model and the linear method in the context of missing value interpolation tasks. In terms of predicting water demand, the LightGBM model demonstrates excellent forecasting performance and can effectively predict future water demand trends. The evaluation indicators MAPE (mean absolute percentage error) and NSE (Nash–Sutcliffe efficiency coefficient) on the test dataset are 4.28% and 0.94, respectively. These indicators can provide a scientific basis for short-term prediction of water supply enterprises.