bluuebunny/crossref_metadata_2025_split huggingface dataset:
Light Stable Isotopes in Volcanic-Hosted Massive Sulfide Ore Systems
Authors: Huston David L. , Laflamme Crystal , Beaudoin Georges , Piercey Stephen 
Published: June 2023

AbstractVolcanic-hosted massive sulfide (VHMS) deposits, the ancient analogues of “black smoker” deposits that currently form on the seafloor, are the products of complex mineral systems involving the interaction of seawater with the underlying volcanic pile and associated magmatic intrusions. Light stable isotopes, particularly those of oxygen, hydrogen and sulfur, have had a strong influence in determining sources of ore fluids and sulfur as well as elucidating geological processes important in the VHMS mineral systems. Oxygen and hydrogen isotope data indicate that evolved seawater was the dominant ore-forming fluid in VHMS mineral systems through geological time, although a small proportion of deposits, including high sulfidation and tin-rich deposits, may have a significant, or dominant, magmatic-hydrothermal fluid component. Higher-temperature (> 200 °C) interaction of evolved seawater alters the rock pile below the seafloor, producing δ18O depletion anomalies at the deposit and district scales that can be used as a vector to ore. In contrast, lower-temperature hydrothermal alteration results in δ18O-enriched zones that commonly cap mineralized positions. An apparent decrease in the degree of high temperature18O depletion with time may relate to the increasing importance of felsic-dominated host successions in younger deposits. δ18O anomalies have potential as an exploration tool, and have contributed directly to discovery. The other important contribution of stable isotopes to understanding the VHMS mineral system is quantification of the contribution of sulfur sources. Conventional δ34S data, when combined with Δ33S data acquired using recently developed technologies, indicate that the dominant sulfur source is igneous sulfur, either leached from the volcanic pile or introduced as a magmatic volatile (these sources are not distinguishable). The thermochemical reduction of seawater sulfate is also an important, but subordinate, sulfur source. Estimation of the proportion of seawater sulfate with geological age indicate that, on average, it has increased from 5–10% in the Archean to 20–25% in the Phanerozoic. This most likely reflects the increase in seawater sulfate contents through geological time. Although untested as an exploration tool, variations in sulfur isotope data may have utility is discriminating fertile from barren sulfide accumulations or providing vectors to ores at the deposits scale. As exploration tools, light stable isotopes suffer from a relatively high cost and slow turn-around time. If these limitations can be overcome, and new analytical methods can be developed, light stable isotopes may emerge as another tool for exploration, particularly as discoveries are made at greater depth and under cover.
“Sure, Aren’t the Church Doing Their Best?” Breaking Consensual Silence in Emer Martin’s The Cruelty Men
Authors: Caneda-Cabrera M. Teresa 
Published: June 2023

AbstractThis chapter considers how a significant number of contemporary Irish writers have been inspired by stories of institutional abuse which had remained concealed from the public domain until recently. Drawing on the notion of “consensual silence”, the chapter explores specifically Emer Martin’s novel The Cruelty Men (2018) as a text that addresses institutional abuse, rescues the unheard voices of the victims and inscribes their untold stories into the nation’s cultural narrative. If The Cruelty Men joins a long list of “post-Ryan” fiction in denouncing how silence has traditionally been woven into the fabric of society and politics in Ireland, the chapter argues that, more importantly, Martin’s novel asserts the healing power of storytelling as a way of renegotiating Ireland’s relationship with the silences of the past.
The Silencing of Speranza
Authors: Walshe Eibhear 
Published: June 2023

AbstractThis chapter draws on my experience of writing and publishing my 2014 novel,The Diary of Mary Travers,and on the research for my edited collectionThe Selected Writings of Speranza and William Wilde(2020) in order to consider the afterlives of Jane Wilde and the silencing and distorting of her scholarly and intellectual career. In particular, the essay looks at her reputation during her lifetime, her scholarship and her public role within Irish cultural nationalism and denounces that her own voice was silenced by a homophobic discourse around her influence on her son. The chapter argues that contemporary Irish cultural discourse has remade her reputation and connects this moment with a tendency in contemporary Irish fiction which focuses on the re-examining of lost and hidden lives.
The effect of the enhanced recovery programme on long-term survival following liver resection for colorectal liver metastases
Authors: Lambert Joel , Mair Thomas , Arujunan Kalaiyarasi , Shugaba Abdulwarith , Uwadiae Harmony , Livesey Anne , Ahmad Rami , Sgourakis Georgios , Gaffney Christopher , Subar Daren 
Published: June 2023

Abstract
Background
Enhanced recovery programmes are associated with improved short-term outcomes following liver surgery. The impact of enhanced recovery programmes on medium- and long-term outcomes is incompletely understood. This study aimed to assess the impact of an enhanced recovery programme on long-term survival in patients undergoing surgery for colorectal liver metastases.

Methods
At a tertiary hepatobiliary centre, we analysed short-, medium- and long-term outcomes in consecutive patients undergoing liver resection for colorectal liver metastases. A five-year retrospective review was carried out comparing the enhanced recovery programme to standard care.

Results
A total of 172 patients were included in the analysis: 87 on standard care and 85 on an enhanced recovery programme. Open surgery was performed in 122 patients: 74 (85.1%) and 48 (56.5%) patients in the standard care and enhanced recovery programme, respectively (p < 0.001). There was a significant reduction in the median (IQR) length of hospital stay in the enhanced recovery programme compared with standard care (7 (5) days vs. 8 (3) days, p = 0.0009). There was no significant difference in survival between standard care and the Enhanced Recovery Programme at one (p = 0.818), three (p = 0.203), and five years (p = 0.247).

Conclusion
An enhanced recovery programme was associated with a reduced length of hospital stay. There was no effect on the one-, three- and five-year survival.
Thermal plasticity of wing size and wing spot size in Drosophila guttifera
Authors: Fukutomi Yuichi , Takahashi Aya , Koshikawa Shigeyuki 
Published: June 2023

AbstractThermal plasticity of melanin pigmentation patterns in Drosophila species has been studied as a model to investigate developmental mechanisms of phenotypic plasticity. The developmental process of melanin pigmentation patterns on wings of Drosophila is divided into two parts, prepattern specification during the pupal period and wing vein-dependent transportation of melanin precursors after eclosion. Which part can be affected by thermal changes? To address this question, we used polka-dotted melanin spots on wings of Drosophila guttifera, whose spot areas are specified by wingless morphogen. In this research, we reared D. guttifera at different temperatures to test whether wing spots show thermal plasticity. We found that wing size becomes larger at lower temperature and that different spots have different reaction norms. Furthermore, we changed the rearing temperature in the middle of the pupal period and found that the most sensitive developmental periods for wing size and spot size are different. The results suggest that the size control mechanisms for the thermal plasticity of wing size and spot size are independent. We also found that the most sensitive stage for spot size was part of the pupal period including stages at which wingless is expressed in the polka-dotted pattern. Therefore, it is suggested that temperature change might affect the prepattern specification process and might not affect transportation through wing veins.
A quantitative framework for security assurance evaluation and selection of cloud services: a case study
Authors: Shukla Ankur , Katt Basel , Yamin Muhammad Mudassar 
Published: June 2023

AbstractDue to the high adoption of cloud services, the protection of data and information is critical. Cloud service customers (CSCs) need help to obtain the authoritative assurances required for the cloud services and negotiate the cloud service contract based on the terms and conditions set by cloud service providers (CSPs). Several standards and guidelines are available for assessing cloud security. However, most of these standards and guidelines are complex and time-consuming to select a service or make an informed decision for CSCs. Moreover, the existing methods are insufficient to solve this problem because they are process-oriented, neglect the importance of stakeholder requirements, and lack a comprehensive and rigid analytic method that can aid decision-makers in making the right decisions. In this paper, we developed two evaluation techniques: (i) a quantitative cloud security assurance method to assess the security level of cloud services by measuring the critical security properties and (ii) a novel and rigid categorical analytical method that enables CSPs to identify the major problems in the system and assess how much gain can be achieved by solving each of them. The cloud security assurance method is based on two important metrics: security requirement and vulnerability. It assists CSCs in avoiding severe mistakes and making informed decisions while selecting a cloud service. Moreover, these methods support CSPs in improving the security level of cloud services and meet customer requirements. The proposed methods are validated using different case scenarios on a private cloud platform.
Incorporating topic membership in review rating prediction from unstructured data: a gradient boosting approach
Authors: Yang Nan , Korfiatis Nikolaos , Zissis Dimitris , Spanaki Konstantina 
Published: June 2023

AbstractRating prediction is a crucial element of business analytics as it enables decision-makers to assess service performance based on expressive customer feedback. Enhancing rating score predictions and demand forecasting through incorporating performance features from verbatim text fields, particularly in service quality measurement and customer satisfaction modelling is a key objective in various areas of analytics. A range of methods has been identified in the literature for improving the predictability of customer feedback, including simple bag-of-words-based approaches and advanced supervised machine learning models, which are designed to work with response variables such as Likert-based rating scores. This paper presents a dynamic model that incorporates values from topic membership, an outcome variable from Latent Dirichlet Allocation, with sentiment analysis in an Extreme Gradient Boosting (XGBoost) model used for rating prediction. The results show that, by incorporating features from simple unsupervised machine learning approaches (LDA-based), an 86% prediction accuracy (AUC based) can be achieved on objective rating values. At the same time, a combination of polarity and single-topic membership can yield an even higher accuracy when compared with sentiment text detection tasks both at the document and sentence levels. This study carries significant practical implications since sentiment analysis tasks often require dictionary coverage and domain-specific adjustments depending on the task at hand. To further investigate this result, we used Shapley Additive Values to determine the additive predictability of topic membership values in combination with sentiment-based methods using a dataset of customer reviews from food delivery services.
Conserving useful plants for a sustainable future: species coverage, spatial distribution, and conservation status within the Millennium Seed Bank collection
Authors: Liu Udayangani , Gianella Maraeva , Dávila Aranda Patricia , Diazgranados Mauricio , Flores Ortíz César Mateo , Lira-Saade Rafael , Bacci Silvia , Mattana Efisio , Milliken William , Mitrovits Olivia , Pritchard Hugh W. , Rodríguez-Arévalo Isela , Way Michael , Williams China , Ulian Tiziana 
Published: June 2023

AbstractA substantially rich diversity of the world’s recorded useful plants (UPs) is captured within the Millennium Seed Bank collection hosted by the Royal Botanic Gardens, Kew, at Wakehurst, UK with 13,598 species (34%) belonging to 3696 genera and 325 families. This constitutes just over half of the total accessions and one third of the species and covers all 9 continents, 8 realms, 14 biomes, 34 biodiversity hotspots and 175 countries. The most common beneficial use category within the captured diversity is medicinal, then species with environmental, material, and human food value. About 86% of conserved UP species have a ‘Least Concern’ conservation status but 8% are identified as globally threatened. The advantages of mutual, continued, and long-term partnership (e.g., Mexico) are showcased when conserving plants important for local communities and addressing conservation challenges beyond seed banking. However, the geographic coverage suffers from a lack of partnerships with some parts of the world. Also, a low number of accessions contributed from many countries means that insufficient native range is yet to be captured for many species. This is particularly the case for restricted or narrow distribution species from families or genera with a high incidence of recalcitrant or short-lived seeds. Future planning must tailor better to cover the spatial distribution patterns for individual species, thereby improving the number of accessions and geographical coverage for those captured. Moreover, seed biology research should characterise desiccation tolerance and develop complementary, novel conservation methods, such as cryopreservation, to strengthen conservation options for UP species.
Drivers of zooplankton dispersal in a pond metacommunity
Authors: Parry Victor , Kiemel Katrin , Pawlak Julia , Eccard Jana , Tiedemann Ralph , Weithoff Guntram 
Published: June 2023

AbstractDispersal success is crucial for the survival of species in metacommunities. Zooplankton species engage in dispersal through time (i.e., egg bank) and space (i.e., vectors) by means of resting eggs. However, dispersal to patches does not equate to successful colonization, as there is a clear distinction between dispersal rates and successful colonization. We performed a field mesocosm experiment assessing dispersal and colonization success of zooplankton from resting eggs or transport via directional wind/airborne and biotic vectors in the vicinity of three ponds. By using active vs. sterile pond sediments and mesh-covered vs. open mesocosms, we disentangled the two mechanisms of dispersal, i.e., from the egg bank vs. space. We found that for both rotifers and cladocerans, sediment type, mesh cover and duration of the experiment influenced species richness and species composition. The relative contribution of resting stages to dispersal and colonization success was substantial for both rotifers and cladocerans. However, wind/airborne dispersal was relatively weak for cladocerans when compared to rotifers, whereas biotic vectors contributed to dispersal success especially for cladocerans. Our study demonstrates that dispersal and colonization success of zooplankton species strongly depends on the dispersal mode and that different dispersal vectors can generate distinct community composition.
Thermal and tribo-mechanical properties of high-performance poly(etheretherketone)/reduced graphene oxide nanocomposite coatings prepared by electrophoretic deposition
Authors: González-Castillo Eduin I. , Torres Yadir , González Francisco J. , Aguilar-Rabiela Arturo E. , Shuttleworth Peter S. , Ellis Gary J. , Boccaccini Aldo R. 
Published: June 2023

AbstractThe thermal stability and degradation, near-to-surface mechanical properties, and scratch resistance and damage mechanism of poly(etheretherketone) (PEEK)/reduced graphene oxide (RGO) nanocomposite coatings are analyzed and discussed in terms of their nanosheet content and microstructure. Although RGO modified the thermal stability and degradation of the polymeric matrix, for instance, by slightly reducing the onset degradation temperature, its addition was not a limiting factor in the PEEK processing. Respecting the microstructural features induced by the nanosheets, the nanocomposite coatings were found to exhibit (i) a partially exfoliated and large-scale co-continuous morphology related to RGO nanosheets whose basal planes were mainly aligned with the coating surface, (ii) a dendritic morphology of PEEK domains related to transcrystallinity, (iii) and irregular domains associated with the deposition of PEEK particles wrapped by the nanosheets. The changes provoked by RGO in the morphology and PEEK crystalline phase influenced the near-to-surface mechanical properties, scratch resistance, and scratch damage mechanism of the nanocomposite coatings. Within this context, the interlayer strength between the nanosheets in the large-scale co-continuous morphology and PEEK transcrystallinity had an important effect. Furthermore, the random-bumpy surface texture formed by the irregular PEEK domains together with the conformal cracking damage mechanism was decisive in the scratch response of the PEEK/RGO nanocomposite coatings. The comprehensive characterization carried out in this work concludes that PEEK/RGO electrophoretic coatings are suitable for a variety of applications requiring tribo-mechanical resistance.Graphical Abstract
New insights on the potential effect of vinpocetine in Parkinson’s disease: one of the neglected warden and baffling topics
Authors: Al-kuraishy Hayder M. , Alexiou Athanasios , Papadakis Marios , Elhussieny Omnya , Saad Hebatallah M. , Batiha Gaber El-Saber 
Published: June 2023

AbstractVinpocetine (VPN) is an ethyl apovincaminate that has anti-inflammatory and antioxidant effects by inhibiting the expression of nuclear factor kappa B (NF-κB) and phosphodiesterase enzyme 1 (PDE-1). VPN is used in the management of stroke, dementia, and other neurodegenerative brain diseases. VPN may be effective in treating Parkinson’s disease (PD). Therefore, this review aimed to clarify the mechanistic role of VPN in the management of PD. VPN has protective and restorative effects against neuronal injury by reducing neuroinflammation, and improvement of synaptic plasticity and cerebral blood flow. VPN protects dopaminergic neurons by reducing oxidative stress, lipid peroxidation, glutamate neurotoxicity, and regulation of Ca+ 2overloads. VPN can alleviate PD neuropathology through its anti-inflammatory, antioxidant, antiapoptotic and neurogenic effects. VPN through inhibition of PDE1 improves cyclic adenosine monophosphate (cAMP)/cyclic guanosine monophosphate (cGMP) signaling in the dopaminergic neurons of the substantia nigra (SN). VPN improves PD neuropathology through PDE1 inhibition with a subsequent increase of the cAMP/cGMP signaling pathway. Therefore, increasing cAMP leads to antioxidant effects, while augmentation of cGMP by VPN leads to anti-inflammatory effects which reduced neurotoxicity and development of motor severity in PD. In conclusion, this review indicated that VPN could be effective in the management of PD.
The challenge of adopting mitigation and adaptation measures for the impacts of sand and dust storms in Eastern Mediterranean Region: a critical review
Authors: Eleftheriou Andreas , Mouzourides Petros , Biskos George , Yiallouros Panayiotis , Kumar Prashant , Neophytou Marina K.-A. 
Published: June 2023

AbstractSand and dust storms (SDS) are a major disruptor in both the source areas where they occur and at distant locations. This critical review aims to address the question of whether mitigation and adaptation measures have been or can be implemented and what is the optimal scale of their implementation to negate the impacts of SDS in Eastern Mediterranean Region (EMR)? Measures which differ in approach are also assessed by recording their successes, failures, and future challenges. We conclude that developing and implementing appropriate mitigation or adaptation measures for SDS at the local level is feasible but, at a wider scale, is a new challenge. This challenge is even more complex in areas like the EMR and the SDS sources affecting it, as it is a crossroad of air masses originating from three major SDS areas, which exhibit economic, political, and social diversity. This review also aims to identify successful mitigation strategies that have been used for similar environmental issues and to draw attention to the lack of adaptation measures in the region. This critical synthesis will serve as a guide for public stakeholders considering measures to mitigate or adapt to SDS based on their effectiveness and the area of implementation.
A serious gaming approach for optimization of energy allocation in CubeSats
Authors: Almalki Faris A. , Angelides Marios C. 
Published: June 2023

AbstractEnergy consumption remains an open challenge in aerial systems such as CubeSats and therefore optimization of its allocation is a top priority for maximizing operational capacity. Our research review reveals a plethora of approaches for optimization of energy allocation and all achieving varying degrees of success and not without any compromises. In this paper, we exploit the use of serious gaming in a novel energy allocation algorithm that aims at minimizing energy consumption to maximize the utilities of both CubeSats and terrestrial sensors. To demonstrate this, we use Stackelberg for serious gaming and standalone topology for CubeSat configuration. The experimental results show that the use of a Stackelberg game approach for optimization has led to reduction in the required transmission energy in sensors, an improved link performance between the CubeSat and ground sensors, and an increase in network lifetime and performance without resorting into sensor power enhancements or other external power sources. The overall average operational capacity improvement predictions range between 22 to 27% across all performance indicators of energy efficiency across RF chains of link budgets.
Automatic Burst Detection in Solar Radio Spectrograms Using Deep Learning: deARCE Method
Authors: Bussons Gordo Javier , Fernández Ruiz Mario , Prieto Mateo Manuel , Alvarado Díaz Jorge , Chávez de la O Francisco , Ignacio Hidalgo J. , Monstein Christian 
Published: June 2023

AbstractWe present in detail an automatic radio-burst detection system, based on the convolutional neural network, for use with any kind of solar spectrogram. A full methodology for model training, performance evaluation, and feedback to the model generator has been developed with special emphasis on i) robustness tests against stochastic and overfitting effects, ii) specific metrics adapted to the unbalanced nature of the solar-burst scenario, iii) tunable parameters for probability-threshold optimization, and iv) burst-coincidence cross match among e-Callisto stations and with external observatories (NOAA-SWPC). The resulting neural network configuration has been designed to accept data from observatories other than e-Callisto, either ground- or spacecraft-based. Typical False Negative and False Positive Scores in single-observatory mode are, respectively, in the 10 – 16% and 6 – 8% ranges, which improve further in cross-match mode. This mode includes new services (, ) allowing the end-user to check at a glance if a solar radio burst has taken place with a high level of confidence.