bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adapting to change: Exploring the consequences of climate‐induced host plant shifts in two specialist Lepidoptera species
Authors: Bovay Baptiste , Descombes Patrice , Chittaro Yannick , Glauser Gaëtan , Nomoto Hanna , Rasmann Sergio 
Published: June 2024

AbstractAsynchronous migration of insect herbivores and their host plants towards higher elevations following climate warming is expected to generate novel plant–insect interactions. While the disassociation of specialised interactions can challenge species' persistence, consequences for specialised low‐elevation insect herbivores encountering novel high‐elevation plants under climate change remain largely unknown. To explore the ability of two low‐elevation Lepidoptera species, Melitaea celadussa and Zygaena filipendulae, to undergo shifts from low‐ to high‐elevation host plants, we combined a translocation experiment performed at two elevations in the Swiss Alps with experiments conducted under controlled conditions. Specifically, we exposed M. celadussa and Z. filipendulae to current low‐ and congeneric high‐elevation host plants, to test how shifts in host plant use impact oviposition probability, number of eggs clutches laid, caterpillar feeding preference and growth, pupation rate and wing size. While our study shows that both M. celadussa and Z. filipendulae can oviposit and feed on novel high‐elevation host plants, we reveal strong preferences towards ovipositing and feeding on current low‐elevation host plants. In addition, shifts from current low‐ to novel high‐elevation host plants reduced pupation rates as well as wing size for M. celadussa, while caterpillar growth was unaffected by host plant identity for both species. Our study suggests that populations of M. celadussa and Z. filipendulae have the ability to undergo host plant shifts under climate change. However, these shifts may impact the ability of populations to respond to rapid climate change by altering developmental processes and morphology. Our study highlights the importance of considering altered biotic interactions when predicting consequences for natural populations facing novel abiotic and biotic environments.
Productivity of Spitsbergen fjords ecosystems in summer—Spatial changes of in situ primary production in Kongsfjorden and Hornsund in the period 1994–2019
Authors: Dragańska‐Deja Katarzyna , Stoń‐Egiert Joanna , Wiktor Józef , Ostrowska Mirosława 
Published: June 2024

AbstractThis comprehensive study examines primary production (PP) within the Spitsbergen fjords, Hornsund, and Kongsfjord, over a 25‐year period (1994–2019), across 45 stations and 348 incubation levels at various depths. PP and hydrological parameters were measured at 28 sampling stations in Kongsfjorden and 17 in Hornsund, with the locations of “Glacier,” “Inner,” and “Outer” zones defined to reflect the varying influence of glacial meltwater. Our study revealed spatial and temporal variability in PP, both at the surface and within the water column with very high depth resolution. The highest PP values were observed in the Glacier and Inner zones of Hornsund, particularly in the water layer up to 3 m depth, exceeding 20 mgC m−3 h−1. A notable decline in PP with increasing depth was observed in both fjords, with the Glacier zones displaying the highest productivity at the surface. The study also highlights the influence of glacial meltwater on surface water conditions, affecting the PP in the upper layers of both fjords. The observed gradient in the depth of maximum PP toward the mouth of the fjord varied between the two fjords, with Kongsjord displaying more dynamic variations. The spatial distribution of integrated primary production (Pi) suggested lower productivity in the glacial regions, likely due to light limitation caused by high concentrations of mineral particulate matter. The values of Pi were considerably higher in Hornsund, approximately twice as high overall, with specific emphasis on the Glacier and Inner zones where Pi values were about 6.5 and 2.5 times higher, respectively, when compared to those observed in Kongsfjord.
High temperatures reduce growth, infection, and transmission of a naturally occurring fungal plant pathogen
Authors: Chen Dalia V. , Slowinski Samuel P. , Kido Allyson K. , Bruns Emily L. 
Published: June 2024

AbstractClimate change is rapidly altering the distribution of suitable habitats for many species as well as their pathogenic microbes. For many pathogens, including vector‐borne diseases of humans and agricultural pathogens, climate change is expected to increase transmission and lead to pathogen range expansions. However, if pathogens have a lower heat tolerance than their host, increased warming could generate so‐called thermal refugia for hosts. Predicting the outcomes of warming on disease transmission requires detailed knowledge of the thermal tolerances of both the host and the pathogen. Such thermal tolerance studies are generally lacking for fungal pathogens of wild plant populations, despite the fact that plants form the base of all terrestrial communities. Here, we quantified three aspects of the thermal tolerance (growth, infection, and propagule production) of the naturally occurring fungal pathogen Microbotryum lychnidis‐dioicae, which causes a sterilizing anther‐smut disease on the herbaceous plant Silene latifolia. We also quantified two aspects of host thermal tolerance: seedling survival and flowering rate. We found that temperatures >30°C reduced the ability of anther‐smut spores to germinate, grow, and conjugate in vitro. In addition, we found that high temperatures (30°C) during or shortly after the time of inoculation strongly reduced the likelihood of infection in seedlings. Finally, we found that high summer temperatures in the field temporarily cured infected plants, likely reducing transmission. Notably, high temperatures did not reduce survival or flowering of the host plants. Taken together, our results show that the fungus is considerably more sensitive to high temperatures than its host plant. A warming climate could therefore result in reduced disease spread or even local pathogen extirpation, leading to thermal refugia for the host.
Investigation on seismic performance degradation of hub large‐span roof structures considering corrosion and damage accumulation
Authors: Si Qi , Ding Yang , Zong Liang , Ma Jun 
Published: June 2024

AbstractHub transportation facilities are important lifeline projects in cities. Once they are damaged by earthquakes, their functional use will be lost, resulting in significant adverse social impacts. The roof structures of hub transportation facilities are usually made of large‐span steel structures. During service, they bear long‐term vibrations caused by multiple vibration sources such as high‐speed trains and wind loads, resulting in cumulative damage. In addition, the roof structures located in coastal areas may be exposed to a corrosive environment, which can lead to the degradation of structural performance. Currently, the relevant structural design standards do not consider the factor of structural performance variation over time. To address the above problems, this study adopts a time‐dependent constitutive model of steel considering corrosion and damage cumulative to investigate the seismic performance degradation of typical hub transportation facility roof structures. The research results show that the stiffness and seismic performance of 50‐year service hub large‐span roof structure have decreased compared to newly built structures, but the probability of serious damage is lower, indicating that the hub large‐span roof structures have good seismic performance.
Sustainable renewable energy supply chain with current technological adaptation: Macro energy progress policy in Iran
Authors: Fazlollahtabar Hamed 
Published: June 2024

AbstractClimate change is a global challenge today that has been highly considered due to the wide impacts on different sectors of a society. That is why the use of renewable energy for countries and communities should be considered. In addition, the limitation of fossil fuels and the problems incurred by greenhouse gas emissions have made it increasingly important to make renewable energy more attractive. Sustainable energy means continuous supply of energy for today's needs without compromising the ability of future generations to meet their needs. Sustainable energy technologies include renewable energy sources such as hydroelectric power, solar energy, wind energy, geothermal energy, synthetic photo center and wave energy, as well as technologies designed to improve energy efficiency. Thus, this article discusses the development and performance of renewable supply chain energy in Iran. A strategic model is proposed and investigated to cover various aspects of sustainable renewable energy within a supply chain configuration integrated with machine learning method for quantification purpose. The novelty is on integrating machine learning and strategic plan to handle sustainability indicators within a renewable energy supply chain. The study also provides managerial insights to governments, researchers and stakeholders for the initiation of renewable energy use and suggestions for overcoming the barriers to its developments.
PAM: Predictive analytics and modules‐based computation offloading framework using greedy heuristics and 5G NR‐V2X
Authors: Khattak Muhammad Ilyas , Yuan Hui , Ahmad Ayaz , Ahmed Manzoor , Khan Ajmal , Inamullah  
Published: June 2024

AbstractRecent advancements in distributed computing systems have shown promising prospects in enabling the effective usage of many next‐generation applications. These applications include a wide range of fields, such as healthcare, interactive gaming, video streaming, and other related technologies. Among such solutions are the evolving vehicular fog computing (VFC) frameworks that make use of IEEE and 3GPP protocols and use advanced optimization algorithms. However, these approaches often rely on outdated protocols or computationally intensive mathematical techniques for solving or representing their optimization models. Additionally, some of these frameworks have not thoroughly considered the type of application during their evaluation and validation phases. In response to these challenges, we have developed the “predictive analytics and modules” (PAM) framework, which operates on a time and event‐driven basis. It utilizes up‐to‐date 3GPP protocols to address the inherent unpredictability of VFC‐enabled distributed computing systems required in smart healthcare systems. Through a combination of a greedy heuristic approach and a distributed offloading architecture, PAM efficiently optimizes decisions related to task offloading and computation allocation. This is achieved through specialized algorithms that provide support to computationally weaker devices, all within a time frame of under 100 ms. To assess the performance of PAM in comparison to three benchmark methodologies, the evaluation pathways that we employed are average response time, probability density function, pareto‐analysis, algorithmic run time, and algorithmic complexity.
Co‐Substrate and Phosphate Buffer Enhanced Atrazine Degradation and Electricity Generation in a Bioelectrochemical System
Authors: Wang Hui , Du Ying , Wang XiangHua , Li Lei , Li Yu , Xu Zhiqiang , Li Xianning 
Published: June 2024

ABSTRACTRefractory organic pollutant removal can be enhanced by a bioelectrochemical system via the addition of electron donors/acceptors. In this study, a single‐chamber soil microbial fuel cell (MFC) was constructed, and electricity production and atrazine removal efficiency were assessed using different co‐substrates and phosphate buffer concentrations. The co‐substrates compensated for the lack of soil organic matter and provided a sufficient carbon source for microorganisms to facilitate MFC electricity generation and efficient atrazine removal. The maximum voltage (94 mV), power density (39.41 mW m−2), removal efficiency (85.30%), and degradation rate (1.68 mg kg−1 d−1) were highest in the soil MFCs with sodium acetate when compared with the other groups. Phosphate buffer significantly alleviated the dramatic soil pH change. The electricity generation and atrazine removal efficiency increased with the buffer concentration (0–0.10 g L−1). The maximum voltage (144 mV) and power density (89.35 mW m−2) were highest, total internal resistance (652 Ω) was lowest, and atrazine removal efficiency (90.95%) and degradation rate (1.54 mg kg−1 d−1) were determined in the soil MFCs with the phosphate buffer concentration of 0.10 g L−1, and. These results indicate that the co‐substrate and phosphate buffer can enhance the electricity generation of soil MFCs and atrazine removal.
Feedback Trading: The Intraday Case of Retail Derivatives
Authors: Baule Rainer , Frijns Bart , Schlie Sebastian 
Published: June 2024

ABSTRACTWe analyze retail order flow in terms of intraday feedback trading patterns. Using a unique data set of exchange trades and high‐frequency quotes, we first provide evidence that retail investors actively and consciously respond to short‐term intraday returns in a negative feedback, contrarian fashion. Second, we show that some retail investors also feedback trade on tick‐by‐tick returns. Third, we find that on average this behavior leads to significant losses on the day they open a position. These losses are primarily due to the bid‐ask spread and to investors' timing inability, but not to market makers taking advantage of investors.
Enhancing the revelation of key genes and interaction networks in non‐small cell lung cancer with major depressive disorder: A bioinformatics analysis
Authors: Gui Huan , Chen Xulong , Nie Yingjie , Zhang Xiangyan 
Published: June 2024

AbstractBackground and AimsLung cancer is ranked as the second most prevalent form of cancer worldwide. Nonsmall cell lung cancer (NSCLC) represents the predominant histological subtype. Research suggests that one‐third of lung cancer patients also experiencing depression. Antidepressants play an indispensable role in the management of NSCLC. Despite significant advancements in treatment, lung cancer patients still face a high mortality rate. Major depressive disorder (MDD) and related antidepressants involved in treatment efficacy and prognosis of NSCLC. However, there has been a lack of screening and analysis regarding genes and networks associated with both NSCLC and MDD.MethodsTo investigate the correlation between MDD and NSCLC, our discovery and validation analysis included four datasets from the Gene Expression Omnibus database from NSCLC or MDD. Differential gene expression (DEGs) analysis, GO and KEGG Pathway, and protein‐protein interaction network analyzes to identify hub genes, networks, and associated observations link between MDD and NSCLC.ResultsThe analysis of two datasets yielded a total of 84 downregulated and 52 upregulated DEGs. Pathway enrichment analyzes indicated that co‐upregulated genes were enriched in the regulation of positive regulation of cellular development, collagen‐containing extracellular matrix (ECM), cytokine binding, and axon guidance. We identified 20 key genes, which were further analyzed using the MCODE plugin to identify two core subnetworks. The integration of functionally similar genes provided valuable insights into the potential involvement of these hub genes in diverse biological processes including angiogenesis humoral immune response regulation inflammatory response organization ECM network.ConclusionWe have identified a total of 136 DEGs that participate in multiple biological signaling pathways. A total of 20 hub genes have demonstrated robust associations, potentially indicating novel diagnostic and therapeutic targets for both diseases.
Prevalence of hepatitis B and C infections among HIV‐positive men who have sex with men: A systematic review and meta‐analysis
Authors: Shabil Muhammed , Yadav Aarti , Shamim Muhammed A. , Ahmed Mohammed , Satapathy Prakasini , Zaidan Ali A. , Khatib Mahalaqua N. , Gaidhane Shilpa , Zahiruddin Quazi S. , Rabaan Ali A. , Al Kaabi Nawal A. , Almosa Fadel A. M. , AlSihati Jehad , Sah Ranjit 
Published: June 2024

AbstractBackgroundHuman immunodeficiency virus (HIV) infection is highly prevalent and often coexists with other infectious diseases, especially Hepatitis B virus (HBV) and Hepatitis C virus (HCV). Men who have sex with men (MSM) represent a vulnerable population in terms of HIV infection. We aimed to determine the prevalence of HCV, HBV among HIV‐infected MSM.MethodsThis systematic review and meta‐analysis searched PubMed, Cochrane, Scopus, Web of Science, and ProQuest up‐to 2023/04/22. All studies reporting the prevalence of HBV or HCV infection in MSM PLHIV were included. Meta‐analysis used random effect model for synthesis and I2 along with prediction interval for heterogeneity. Subgroup analysis based on continent and meta‐regression for study size, average age and year of publication were used to explore heterogeneity. Modified Newcastle‐Ottawa Scale was used to evaluate the quality of studies according to the protocol (PROSPERO: CRD42023428764).ResultsFifty‐six of 5948 studies are included. In 53 studies with 3,07,589 participants, a pooled prevalence of 7% (95% confidence interval [CI]: 5–10) was found for HCV among MSM PLHIV, while a 9% (95% CI: 4–18) prevalence was found for HBV infection from five studies which included 5641 MSM PLHIV. Asia reported the lowest pooled prevalence at 5.84% (95% CI: 2.98–11.13) for HCV while Europe reported the highest pooled prevalence at 7.76% (95% CI: 4.35–13.45). Baujat plot and influence diagnostic identified contributors to influence and between‐study heterogeneity. Sensitivity analyses omitting these studies result in considerably more precise estimates. Another sensitivity analysis as leave‐one‐out meta‐analysis did not change any pooled estimate significantly.ConclusionThere is a significant burden of HCV and HBV among MSM PLHIV worldwide, with varying prevalence rates. Future studies should focus on these multimorbidity clusters and investigate factors influencing disease burden, long‐term outcomes, optimal testing strategies, and tailored interventions.
A scoping review of mental health status in Australian medical students and doctors‐in‐training (DiT)
Authors: Ganes Anand , Sunder Priya 
Published: June 2024

AbstractBackground and AimsThe study and practice of medicine are known to contribute to burnout in medical students and junior doctors. There is limited data on the degree of mental health burden for Australian medical students and doctors‐in‐training (DiT). This scoping review aims to explore the impact of medical training on the mental health of Australian medical students and DiT. Exploring the mental health landscape across different stages of training will help to establish putative factors underlying psychiatric comorbidities in this demographic.MethodsThe Joanna Brigs Institute (JBI) framework for scoping review was utilized, involving the Population/Concept/Context (PCC) criteria to identify the target population and develop the search strategy. Peer‐reviewed articles, published in English from 2012 to 2022 focusing on Australian medical students' and doctors‐in‐training mental health were considered.ResultsOf the 177 articles identified, 24 studies were included in the review. The majority of the studies focused on DiT (n = 19) of which interns and residents were most well represented (n = 12) followed by surgical training (n = 5), with general practice (GP) (n = 2) and physician specialties (nil) being poorly represented. Most studies were quantitative (n = 18), with qualitative studies(n = 6) under represented. Common mental health themes identified were overall psychological distress, burnout, and depression/suicidal ideation with workplace harassment and discrimination being less well represented.ConclusionsAustralian DiT are not equally represented in the literature with how different specialty training pathways impact their mental health. Most studies were cross‐sectional, preventing a detailed longitudinal assessment of burnout and work‐associated psychological distress.
Potential association between PSCA rs2976395 functional variant and pancreatic cancer risk
Authors: Corradi Chiara , Lencioni Giulia , Felici Alessio , Rizzato Cosmeri , Gentiluomo Manuel , Ermini Stefano , Archibugi Livia , Mickevicius Antanas , Lucchesi Maurizio , Malecka‐Wojciesko Ewa , Basso Daniela , Arcidiacono Paolo Giorgio , Petrone Maria Chiara , Carrara Silvia , Götz Mara , Bunduc Stefania , Holleczek Bernd , Aoki Mateus Nóbrega , Uzunoglu Faik G. , Zanette Dalila Lucíola , Mambrini Andrea , Jamroziak Krzysztof , Oliverius Martin , Lovecek Martin , Cavestro Giulia Martina , Milanetto Anna Caterina , Peduzzi Giulia , Duchonova Beatrice Mohelnikova , Izbicki Jakob R. , Zalinkevicius Rimantas , Hlavac Viktor , van Eijck Casper H. J. , Brenner Hermann , Vanella Giuseppe , Vokacova Klara , Soucek Pavel , Tavano Francesca , Perri Francesco , Capurso Gabriele , Hussein Tamás , Kiudelis Mindaugas , Kupcinskas Juozas , Busch Olivier R. , Morelli Luca , Theodoropoulos George E. , Testoni Sabrina Gloria Giulia , Adamonis Kestutis , Neoptolemos John P. , Gazouli Maria , Pasquali Claudio , Kormos Zita , Skalicky Pavel , Pezzilli Raffaele , Sperti Cosimo , Kauffmann Emanuele , Büchler Markus W. , Schöttker Ben , Hegyi Péter , Capretti Giovanni , Lawlor Rita T. , Canzian Federico , Campa Daniele 
Published: June 2024

AbstractCorrelated regions of systemic interindividual variation (CoRSIV) represent a small proportion of the human genome showing DNA methylation patterns that are the same in all human tissues, are different among individuals, and are partially regulated by genetic variants in cis. In this study we aimed at investigating single‐nucleotide polymorphisms (SNPs) within CoRSIVs and their involvement with pancreatic ductal adenocarcinoma (PDAC) risk. We analyzed 29,099 CoRSIV‐SNPs and 133,615 CoRSIV‐mQTLs in 14,394 cases and 247,022 controls of European and Asian descent. We observed that the A allele of the rs2976395 SNP was associated with increased PDAC risk in Europeans (p = 2.81 × 10−5). This SNP lies in the prostate stem cell antigen gene and is in perfect linkage disequilibrium with a variant (rs2294008) that has been reported to be associated with risk of many other cancer types. The A allele is associated with the DNA methylation level of the gene according to the PanCan‐meQTL database and with overexpression according to QTLbase. The expression of the gene has been observed to be deregulated in many tumors of the gastrointestinal tract including pancreatic cancer; however, functional studies are needed to elucidate the function relevance of the association.