bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Adaptive Learning Rate Deep Learning Optimizer Using Long and Short-Term Gradients Based on G–L Fractional-Order Derivative
Authors: Chen Shuang , Zhang Changlun , Mu Haibing 
Published: March 2024

AbstractDeep learning model is a multi-layered network structure, and the network parameters that evaluate the final performance of the model must be trained by a deep learning optimizer. In comparison to the mainstream optimizers that utilize integer-order derivatives reflecting only local information, fractional-order derivatives optimizers, which can capture global information, are gradually gaining attention. However, relying solely on the long-term estimated gradients computed from fractional-order derivatives while disregarding the influence of recent gradients on the optimization process can sometimes lead to issues such as local optima and slower optimization speeds. In this paper, we design an adaptive learning rate optimizer called AdaGL based on the Grünwald–Letnikov (G–L) fractional-order derivative. It changes the direction and step size of parameter updating dynamically according to the long-term and short-term gradients information, addressing the problem of falling into local minima or saddle points. To be specific, by utilizing the global memory of fractional-order calculus, we replace the gradient of parameter update with G–L fractional-order approximated gradient, making better use of the long-term curvature information in the past. Furthermore, considering that the recent gradient information often impacts the optimization phase significantly, we propose a step size control coefficient to adjust the learning rate in real-time. To compare the performance of the proposed AdaGL with the current advanced optimizers, we conduct several different deep learning tasks, including image classification on CNNs, node classification and graph classification on GNNs, image generation on GANs, and language modeling on LSTM. Extensive experimental results demonstrate that AdaGL achieves stable and fast convergence, excellent accuracy, and good generalization performance.
Evaluation of crop model-based simplified marginal net return maximising nitrogen application rates on site-specific level in maize
Authors: Memic E. , Trenz J. , Heshmati S. , Graeff S. 
Published: March 2024

AbstractCrop growth models such as DSSAT-CERES-Maize have proven to be useful for analysing plant growth and yield within homogenous land units. The paper presents results of newly developed model-based site-specific Soil Profile Optimisation (SPO) tools in combination with an updated version of an already published Nitrogen Prescription Model (NPM). Site-specific soil profiles were generated through an inverse modelling approach based on measured site-specific yield (point-based) and tops weight (above-ground biomass time-series) and evaluated. Site-specific soil profiles generated based only on measured yield variability were able to explain 72% (R2 0.72) of yield variability (dependent variable) based on selected soil profile input parameters (independent variable). Site-specific soil profiles generated based on measured yield and tops variability simultaneously (multiple target variable) explained 68% of yield variability (R2 0.68). The NPM uses the SPO generated site-specific soil profiles for economic evaluation of site-specific N application rates. NPM simulated N application rates, aiming at the maximisation of marginal net return (MNR) were 25% lower compared to the uniform N application rates with an assumed grain and N price of 0.17 and 0.3 Euro kg−1 respectively, under rainfed conditions over three years based on soil profiles generated via an inverse modelling approach only from measured yield variability (one target variable). N application rates were 28% lower when based on soil profiles generated from simultaneously included grain and tops variability in the inverse modelling approach. The results highlight the importance of site-specific fertilizer management when maximising MNR.
A universal parallel simulation framework for energy pipeline networks on high-performance computers
Authors: Han Pu , Hua Haobo , Wang Hai , Xue Fei , Wu Changmao , Shang Jiandong 
Published: March 2024

AbstractEnergy distribution networks represent crucial infrastructures for modern society, and various simulation tools have been widely used by energy suppliers to manage these intricate networks. However, simulation calculations include a large number of fluid control equations, and computational overhead limits the performance of simulation software. This paper proposes a universal parallel simulation framework for energy pipeline networks that takes advantages of data parallelism and computational independence between network elements. A non-pipe model of an energy supply network is optimized, and the input and output of the network model in the proposed framework are modified, which can reduce the development burden during the numerical computations of the pipeline network and weaken the computational correlation between different simulated components. In addition, independent computations can be performed concurrently through periodic data exchange procedures between component instances, improving the parallelism and efficiency of simulation computations. Further, a parallel water pipelines network simulation computing paradigm based on a heterogeneous computer hardware architecture is used to evaluate the proposed framework’s performance. A series of tests are conducted to verify the accuracy of the proposed framework, and simulation errors of less than 5% are achieved. The results of multi-threaded simulation experiments have demonstrated the feasibility of the proposed framework in a parallel computing approach. Moreover, an Advanced Micro Devices (AMD) Deep Computing Unit (DCU)-parallel program is implemented into a water supply network simulation system; the computational efficiency of this system is compared with that of its serial counterpart. The experimental results show that the proposed framework is appropriate for high-performance computer architectures, and the 18x speed-up ratio demonstrates that the parallel program based on the proposed universal framework outperforms the serial program. That provides the basis for the application of pipe network simulation on high-performance computers.
The Hole Argument without the notion of isomorphism
Authors: Luc Joanna 
Published: March 2024

AbstractIn this paper, I argue that the Hole Argument can be formulated without using the notion of isomorphism, and for this reason it is not threatened by the criticism of Halvorson and Manchak (Br J Philos Sci, 2022. https://doi.org/10.1086/719193). Following Earman and Norton (Br J Philos Sci 38, pp. 515–525, 1987), I divide the Hole Argument into two steps: the proof of the Gauge Theorem and the transition from the Gauge Theorem to the conclusion of radical indeterminism. In the analaysis of the first step, I argue that the Gauge Theorem does not rely on the notion of isomorphism but on the notion of the diffeomorphism-invariance of the equations of local spacetime theories; however, for this approach to work, the definition of local spacetime theories needs certain amendments with respect to Earman and Norton’s formulation. In the analysis of the second step, I postulate that we should use the notion of radical indeterminism instead of indeterminism simpliciter and that we should not decide in advance what kind of maps are to be used in comparing models. Instead, we can tentatively choose some kind of maps for this purpose and check whether a given choice leads to radical indeterminism involving empirically indistinguishable models. In this way, the use of the notion of isomorphism is also avoided in the second step of the Hole Argument. A general picture is that physical equivalence can be established by means of an iterative procedure in which we examine various candidate classes of maps, and, depending on the outcomes, we need to broaden or narrow these classes. The Hole Argument can be viewed as a particular instance of this procedure.
Green biosourced composite for efficient reactive dye decontamination: immobilized Gibberella fujikuroi on maize tassel biomatrix
Authors: Celik Sema , Kurtulus Tas Selen , Sayin Fatih , Akar Tamer , Tunali Akar Sibel 
Published: March 2024

AbstractBiosorptive treatment with microbial biomass is regarded as an environmentally friendly and effective way to reduce dye contamination in contaminated aquatic environments. Immobilizing microbial cells for use in this process can significantly improve their effectiveness as biosorbents in the water treatment process. The current investigation searches for a sustainable and environmentally friendly approach to decolorization by employing a green biocomposite material sorbent system (ZM@GFC) created by immobilizing fungal cells (Gibberella fujikuroi) on maize tassel tissues to efficiently remove Reactive Yellow 2 (RY2) from contaminated water sources. Batch and dynamic flow tests were performed to evaluate the biodecolorization properties of the newly created immobilized biomaterial as well as the effects of several essential operating conditions factors on the sorption behavior. Biosorption yields of 95.7% and 90.0% in batch and dynamic modes were achieved for experimental dye decolorization. The biosorption of RY2 by ZM@GFC occurred fast and achieved equilibrium within 60 min. The pseudo-second-order kinetic model elucidated the dye biosorption onto ZM@GFC. The Langmuir model provided a more accurate representation of the results than the Freundlich model. At the same time, Redlich-Peterson isotherm demonstrated the best level of agreement with the experimental data. These findings indicate that the biosorption mechanism predominantly involved the formation of a monolayer covering and that the energy properties of the ZM@GFC surface were uniform. The breakthrough capacity at the exhaustion time was 537.32 mg g−1. The predicted cost of generating ZM@GFC was anticipated to be 61.03 USD/kg. The investigations on safe disposal demonstrated that the biosorption process did not generate any secondary pollution. In conclusion, using maize tassel tissue as an immobilized decolorization agent offers a possible method for removing reactive azo dye pollutants from the aquatic medium that is both economical and environmentally benign.
Mixed-Material Feedstocks for Cold Spray Additive Manufacturing of Metal–Polymer Composites
Authors: Schwenger Matthew S. , Kaminskyj Madison S. , Haas Francis M. , Stanzione Joseph F. 
Published: March 2024

AbstractHigh-performance polymers such as poly(ether ether ketone) (PEEK) are appealing as composite components for a wide variety of industrial and medical applications due to their excellent thermomechanical properties. However, conventional PEEK metallization methods can often lead to poor quality control, low deposition rate, and high cost. Cold spray is a promising potential alternative to produce polymer–metal composites rapidly and inexpensively due to its relatively mild operating conditions and high throughput. In this study, we investigated the deposition characteristics of metal–polymer composite feedstock, composed of PEEK powder and copper flake in varying ratios, onto a PEEK substrate. Copper-PEEK powder blends were prepared by both hand-mixing and cryogenic milling (cryomilling), which predominantly creates composite particles with micron-scale copper domains coating PEEK particle surfaces. This process non-monotonically affects the relative dominance and length scales of the multiple contributing deposition mechanisms present in mixed-material cold spray. In low-pressure cold spray, deposits showed significant changes in deposition efficiency and composition as a result of milling, with improvements in these characteristics most dramatic at lower Cu fractions. Deposits of a cryomilled blend of nominally 30 vol.% copper in PEEK exhibited minimal porosity under scanning electron microscopy, complete retention of powder composition, and the highest deposition efficiency among all samples tested. Notably, neither neat PEEK nor neat Cu meaningfully deposited at the same mild conditions as this 30 vol.% Cu blend, indicating a synergistic departure from linear mixing rules driven by the relative balance of local deposition interactions (e.g., hard–soft, soft–soft, etc.). Intentional powder and process design toward optimizing this balance may facilitate cold spray metallization applications.
Consistently Inconsistent? Clarifying Conflicting Timelines with Aoristic Interview Analysis
Authors: Keatley David 
Published: March 2024

AbstractPolice investigations are complex processes, often accumulating large amounts of interviews. Mapping temporal pathways within and across individuals’ statements is time-consuming and often difficult to interpret after multiple interviews. The current paper provides a novel use of a well-supported timeline method: aoristic analysis. By applying aoristic analysis to interviews, it is shown that consistencies and inconsistencies across multiple interviews can be easily calculated and given probability scores. Important parts of timelines can be highlighted to expedite investigations. This approach uses existing police records and offers an additional layer of statistical analyses to provide quicker insights into the likelihood of activity and event times and durations. While offered as a proof-of-concept study, the current paper provides an opportunity for a range of researchers and academics to assist with interpreting timelines and investigations.
Impact of 1-Methylcyclopropene in Combination with Heat Shock and Dimethyl Dicarbonate on the Physicochemical Profiles of Table Olive Fermentations
Authors: López-García Elio , Benítez-Cabello Antonio , Rodríguez-Gómez Francisco , Martín-Arranz Virginia , Romero-Gil Verónica , Arroyo-López Francisco Noé , Garrido-Fernández Antonio 
Published: March 2024

AbstractTable olives are the most important fermented vegetable in the Mediterranean countries. In a continuous effort to improve the quality of this food, this work applies an experimental design with four variables to study the use of 1-methylcyclopropene (1-MCP, 2.85 µL/L) in combination with a light heat shock (65 °C, 5 min) and dimethyl dicarbonate (DMDC, 83 mg/L), during the processing of Spanish style and natural table olives. Fruits processed in the Spanish style exhibited higher moisture levels, luminance, and combined acidity. On the contrary, natural olives contained more sugars, had a firmer texture, and displayed a greener colour. Our results show that applying 1-MCP, heat shock, and DMDC can positively impact the processing of Spanish style and natural table olives and influence their physicochemical characteristics. Adding DMDC to the initial brine caused colour degradation but lowered the pH. Using 1-MCP with a light heat shock improved the sugar content and luminance of olives and increased the titratable acidity in the brine. Applying 1-MCP to the Spanish style enhanced the luminosity (brightness) and, when combined with DMDC, led to the lowest pH levels. Further research at an industrial scale is necessary to validate these results and study their influence on microorganisms. These treatments could have applications in developing new table olive processing methods that allow for more predictable products.
Improving strategic planning for nature: Panacea or pandora’s box for the built and natural environment?
Authors: Scott Alister , Kirby Matthew 
Published: March 2024

AbstractThis paper assesses how strategic planning for nature can be improved for England’s built and natural environment using mainstreaming and landscape-scale concepts. Whilst both concepts feature in academic literature, there has been limited attention on their role as catalytic agents for strategic planning. Addressing this gap, evidence is used from two stakeholder workshops involving 62 senior policy experts managing a range of operational and hypothetical strategic spatial planning challenges. The results reveal a significantly weakened strategic planning arena characterised by policy disintegration, short termism and uncertainty. Key findings highlight the fallacy of pursuing strategic planning for nature in isolation from wider policy integration fusing environmental, economic and social components from the outset. Current barriers to progress include institutional inertia, technocratic vocabularies and neoliberalist priorities exacerbated by a weak underlying theory. Conversely opportunities for mainstreaming processes may help knowledge generation and exchange within transdisciplinary partnerships, whilst landscape scale thinking can improve understanding of issues using natures inherent geometry transforming processes and outcomes. The paper recommends the adoption of strategic planning pathways using mainstreaming and landscape-scale approaches working in tandem. Whilst focused on the English context, our findings are transferable to other planning systems in the Global North, especially those championing neoliberal market led policies.
Linking Periodontitis to Adverse Pregnancy Outcomes: a Comprehensive Review and Meta-analysis
Authors: Castaño-Suárez Laura , Paternina-Mejía Geydi Yuliza , Vásquez‑Olmos Laura Daniela , Rodríguez-Medina Carolina , Botero Javier Enrique 
Published: March 2024

Abstract
Purpose of Review
Numerous investigations have explored the potential link between periodontitis and low birth weight (LBW) as well as preterm birth (PTB). However, the evidence remains inconclusive. Bacteria, their by-products, and proinflammatory cytokines originating from periodontal tissues can reach the placenta, inducing inflammatory changes that may contribute to pregnancy complications.

Recent Findings
A total of 35 studies involving 2,510,556 women were analyzed. The quality of the studies varied, but the meta-analysis consistently showed a moderate association between periodontitis and low birth weight. The observed association between periodontitis and low birth weight was moderate (OR 2.48; 95% CI 1.72–3.59), and it became even stronger when analyzing case–control studies independently (OR 3.94; 95% CI 1.95–7.96). On the other hand, the association between periodontitis and preterm birth was weak (OR 1.87; 95% CI 1.57–2.22) with highly significant heterogeneity. However, the presence of high heterogeneity and publication bias in the studies casts some limitations on the confidence in the results.

Summary
The available evidence, albeit of low quality, supports a moderate association between periodontitis and low birth weight, as well as a weak association with preterm delivery. Nonetheless, these findings must be interpreted cautiously, given the limited confidence in the effect estimates due to potential biases and heterogeneity in the studies.
Resilience improvement through a multicomponent physical and cognitive intervention for older people: the DanzArTe emotional well-being technology project
Authors: Barbagelata Marina , Morganti Wanda , Seminerio Emanuele , Camurri Antonio , Ghisio Simone , Loro Mara , Puleo Gianluca , Dijk Babette , Nolasco Ilaria , Costantini Claudio , Cera Andrea , Senesi Barbara , Ferrari Nicola , Canepa Corrado , Custodero Carlo , Pilotto Alberto 
Published: March 2024

Abstract
Background
Resilience is a crucial component of successful aging. However, which interventions might increase resilience in older adults is yet unclear.

Aims
This study aims to assess the feasibility and the physical and psychological effects of a technology-based multicomponent dance movement intervention that includes physical, cognitive, and sensory activation in older people living in community-dwelling and nursing home.

Methods
DanzArTe program consists of four sessions on a weekly basis, using a technological platform that integrates visual and auditory contents in real time. 122 participants (mean age = 76.3 ± 8.8 years, 91 females = 74.6%) from seven nursing homes and community-dwelling subjects were assessed, before and after the intervention, with the Resilience Scale-14 items (RES-14), the Multidimensional Prognostic Index (MPI), the Psychological General Well-Being Index (PGWBI-S), and the Client Satisfaction Questionnaire-8 (CSQ-8). Mann–Whitney and Wilcoxon signed-ranks tests were used for statistical analyses.

Results
At baseline significant differences in MPI and RES-14 between community-dwelling and nursing home residents were observed (p < 0.001 for both analyses). After the intervention, resilience significantly increased in total sample (RES-14 mean T1 = 74.6 Vs. T2 = 75.7) and in the nursing home residents (RES-14 mean T1 = 68.1 Vs. T2 = 71.8). All participants showed high overall satisfaction for DanzArTe program (CSQ-8 mean = 23.9 ± 4.4). No differences in MPI and PGWBI-S were observed.

Discussion
DanzArTe was a feasible intervention and high appreciated by all older adults. Nursing home residents revealed improvements in resilience after DanzArTe program.

Conclusion
The DanzArTe technology-based multi-component intervention may improve resilience in older people living in nursing homes.
Fish Acanthocephalans as Potential Human Pathogens
Authors: Buchmann Kurt , Karami A. M. 
Published: March 2024

Abstract
Purpose of Review
Acanthocephalans attach to the gastro-intestinal mucosa of the host (mammals, birds, reptiles, amphibians, fish) by use of a proboscis equipped with a series of hooks. Teleosts serve as definitive hosts to some acanthocephalans, which can affect the nutritive status of the fish, due to absorption of nutrients in the gut, but they are not infective to humans. Other acanthocephalans, residing as larvae/juveniles in other compartments of the fish, apply mammals (whales, seals) as definitive hosts. They are as shown in this review potentially zoonotic, as consumption of live larvae in infected fish may lead to human infection associated with severe abdominal symptoms.

Recent Findings
Acanthocephalans, belonging to the genera Bolbosoma and Corynosoma, occur in their larval/juvenile stage in various body compartments of fish (paratenic hosts). They use marine mammals (cetaceans and pinnipeds) as definitive hosts, in which the adult parasite attaches to the gastro-intestinal mucosa. Eggs from the female acanthocephalan leave the host with faeces, and in the marine environment, they are ingested by small crustaceans (amphipods, isopods, copepods, krill), serving as intermediate hosts. When fish ingest the infected crustacean, the larva will infect the fish (then serving as paratenic host) awaiting predation by a marine mammal. Human consumption of raw or semi-raw fish dishes may lead to infection, development of symptoms, hospitalization and in some cases surgery.

Summary
Increases of marine mammal populations (seals and whales) in marine waters with exploitable fish stocks may increase the general infection pressure and thereby increase occurrence (prevalence and intensity) of the larval stages in fish. This may increase the risk of human infection. Preventive measures (prior freezing or heat treatment) are recommended before consumption of fishery products.
Eigenvalue Regularity Criteria of the Three-Dimensional Micropolar Fluid Equations
Authors: Ragusa Maria Alessandra , Wu Fan 
Published: March 2024

AbstractIn this paper, we consider several improved regularity criteria to the 3D micropolar fluid equations. In particular, we prove regularity criteria that only require control of the middle eigenvalue of strain tensor in critical Besov spaces, which can be regarded as improvement and extension of results very recently obtained.