bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of using primary percutaneous coronary interventions on the incidence of new‐onset atrial fibrillation following an acute myocardial infarction
Authors: Pan Li‐Hua , Yan Bo‐Yu , Zhu Jing , Lu Qi , Hui Jie 
Published: October 2023

AbstractBackgroundAcute ST‐segment elevation myocardial infarction (STEMI) and new‐onset atrial fibrillation (AF) are associated with increased risk of mortality.HypothesisThis study aimed to determine the proportion of patients who go on to develop new‐onset a AF after undergoing a primary or delayed percutaneous coronary intervention (PCI) for an acute STEMI and to explore possible risk factors.MethodsOne hundred and fifty‐four patients who underwent PCI after STEMI were included in the study. Patient characteristics, baseline blood tests and cardiac parameters, type of PCI, and incidence of new‐onset AF within 3 months of PCI were recorded and analyzed.ResultsFifteen developed new‐onset AF following the PCI, and 139 patients maintained a sinus rhythm. Univariate analysis showed significant differences between the two patient groups in terms of age, nature of the PCI (primary vs. delayed), left atrial diameter, and left ventricular diastolic dysfunction (p < .05). Age (odds ratio [OR] = 1.065, 95% confidence interval [CI]: 1.007–1.127, p < .05) and left atrial diameter (OR = 1.165, 95% CI: 1.008–1.347, p < .05), were independent predictors of new‐onset AF after PCI. Primary PCI (OR = 0.232, 95% CI: 0.066–0.814, p < .05) was an independent protective factor.ConclusionAge and left atrial diameter were independent risk factors of new‐onset AF in patients undergoing a PCI following an acute myocardial infarction, while primary PCI was a protective factor. This discovery can help reduce mortality rate, improve long‐term prognosis, and provide a theoretical basis for the prevention of new‐onset AF.
A designable sulfur‐linked carbonyl compound anchored on reduced graphene oxide for high‐rate organic lithium batteries
Authors: Wu Dabei , Nzabahimana Joseph , Hu Xianluo 
Published: October 2023

AbstractThe development of organic lithium batteries (OLBs) offers a promising opportunity for the advancement of green and sustainable energy storage systems. However, organic cathode materials face challenges in terms of conductivity, electrochemical activity, and dissolution. Here, we address these limitations by introducing a sulfur‐linked carbonyl compound called poly(dichlorobenzoquinone sulfide) (PDBS), which is polymerized in situ on reduced graphene oxide by a mixed solvent thermal method. The resulting carbonyl compound electrode materials exhibit favorable properties as organic cathode materials for OLBs. After 4000 cycles at a current density of 1000 mA g−1, the carbonyl compound electrodes exhibit a discharge capacity of 102 mAh g−1. This remarkable performance indicates excellent stability and long cycle life, which are crucial for practical applications. These results suggest that PDBS, a designable sulfur‐linked carbonyl compound, holds great promise as an effective organic cathode material for OLBs. In addition, this work provides valuable insights into improving the electrochemical performance of organic cathode materials.
Compiler‐driven approach for automating nonblocking synchronization in concurrent data abstractions
Authors: Zhang Jiange , Yi Qing , Peterson Christina , Dechev Damian 
Published: October 2023

SummaryThis paper presents an extended version of our previous work on using compiler technology to automatically convert sequential C++ data abstractions, for example, queues, stacks, maps, and trees, to concurrent lock‐free implementations. A key difference between our work and existing research in software transactional memory (STM) is that our compiler‐based approach automatically selects the best state‐of‐the‐practice nonblocking synchronization method for the underlying sequential implementation of the data structure. The extended material includes a broader collection of the state‐of‐the‐practice lock‐free synchronization techniques, additional formal correctness proofs of the overall integration of the different synchronizations in our system, and a more comprehensive experimental study of the integrated techniques. We evaluate our compiler‐generated nonblocking data structures both by using a collection of micro‐benchmarks, including the Synchrobench suite, and by using a multi‐threaded application Dedup from PARSEC. Our automatically synchronized code attains performance competitive to that of concurrent data structures manually‐written by experts and much better performance than heavier‐weight support by STM.
Hybrid grey wolf optimizer for solving permutation flow shop scheduling problem
Authors: Chen Shuilin , Zheng Jianguo 
Published: October 2023

SummaryThe permutation flow shop scheduling problem, as a classical problem in the scheduling field, is an NP‐hard problem. However, most of the reported algorithms are difficult to achieve good accuracy and efficiency. To address this problem, a hybrid grey wolf optimizer (HGWO) is proposed in this paper. First, one cooperative initialization strategy is proposed to improve the quality of the initial solution based on the improved Nawaz‐Enscore‐Ham (NEH) method and the tent chaotic map method. Second, a levy flight strategy is introduced to balance the exploitation and exploration of the algorithm for the problem's characteristics. Third, the crossover and mutation strategy, and the critical block exchange based on critical path strategy are proposed to avoid falling into the local optimum. In addition, for the best individual, the variable neighborhood descent strategy is proposed to enhance the convergence accuracy of the algorithm. To verify the performance of the proposed algorithm, three different types of instances are selected for comparison experiments with other existing methods, and the experimental results show that the proposed HGWO outperforms other comparison algorithms in solving the problem.
Demonstrating Pressure Jumping as a Tool to Address the Pressure Gap in High Pressure Photoelectron Spectroscopy of CO and CO2 Hydrogenation on Rh(211)
Authors: Degerman David , Goodwin Christopher M. , Lömker Patrick , García‐Martínez Fernando , Shipilin Mikhail , Gloskovskii Andrei , Nilsson Anders 
Published: October 2023

AbstractOperando probing by x‐ray photoelectron spectroscopy (XPS) of certain hydrogenation reactions are often limited by the scattering of photoelectrons in the gas phase. This work describes a method designed to partially circumvent this so called pressure gap. By performing a rapid switch from a high pressure (where acquisition is impossible) to a lower pressure we can for a short while probe a “remnant” of the high pressure surface as well as the time dynamics during the re‐equilibration to the new pressure. This methodology is demonstrated using the CO2 and the CO hydrogenation reaction over Rh(211). In the CO2 hydrogenation reaction, the remnant surface of a 2 bar pressure shows an adsorbate distribution which favors chemisorbed CHx adsorbates over chemisorbed CO. This contrasts against previous static operando spectra acquired at lower pressures. Furthermore, the pressure jumping method yields a faster acquisition and more detailed spectra than static operando measurements above 1 bar. In the CO hydrogenation reaction, we observe that CHx accumulated faster during the 275 mbar low pressure regime, and different hypotheses are presented regarding this observation.
Unmasking the tumourigenic role of SIN1/MAPKAP1 in the mTOR complex 2
Authors: Ezine Emilien , Lebbe Céleste , Dumaz Nicolas 
Published: October 2023

AbstractBackgroundAlthough the PI3K/AKT/mTOR pathway is one of the most altered pathways in human tumours, therapies targeting this pathway have shown numerous adverse effects due to positive feedback paradoxically activating upstream signaling nodes. The somewhat limited clinical efficacy of these inhibitors calls for the development of novel and more effective approaches for targeting the PI3K pathway for therapeutic benefit in cancer.Main bodyRecent studies have shown the central role of mTOR complex 2 (mTORC2) as a pro‐tumourigenic factor of the PI3K/AKT/mTOR pathway in a number of cancers. SIN1/MAPKAP1 is a major partner of mTORC2, acting as a scaffold and responsible for the substrate specificity of the mTOR catalytic subunit. Its overexpression promotes the proliferation, invasion and metastasis of certain cancers whereas its inhibition decreases tumour growth in vitro and in vivo. It is also involved in epithelial‐mesenchymal transition, stress response and lipogenesis. Moreover, the numerous interactions of SIN1 inside or outside mTORC2 connect it with other signaling pathways, which are often disrupted in human tumours such as Hippo, WNT, Notch and MAPK.ConclusionTherefore, SIN1's fundamental characteristics and numerous connexions with oncogenic pathways make it a particularly interesting therapeutic target. This review is an opportunity to highlight the tumourigenic role of SIN1 across many solid cancers and demonstrates the importance of targeting SIN1 with a specific therapy.
Preconception episodes of severe hypoglycemia and risk of adverse pregnancy outcomes in pregnant women with type 1 diabetes mellitus
Authors: Gong Yixin , Luo Sihui , Shi Jie , Wei Tian , Wang Jing , Liu Yujie , Yan Jinhua , Yang Daizhi , Li Ling , Sun Zilin , Zheng Xueying , Weng Jianping 
Published: October 2023

AbstractAimsTo explore the relationship between preconception severe hypoglycemia (PSH) and pregnancy outcomes in pregnancies complicated with type 1 diabetes mellitus (T1DM).Materials and MethodsIn this multicenter prospective cohort study, women with pregestational T1DM were stratified by episodes of severe hypoglycemia within 1 year before conception: No PSH, sporadic PSH (1–6 times/year), and recurrent PSH (>6 times/year). We analysed the predictive ability of PSH for maternal and neonatal outcomes using log‐binomial regression models and receiver operating characteristic (ROC) curve.ResultsOf the 124 women studied, 37.1% experienced at least one episode of severe hypoglycemia preconception. In the multiple adjusted regression models, recurrent PSH was significantly associated with increased incidence of preeclampsia (RR 17.59, 95% CI: 2.89–150.62, p for trend = 0.007), preterm birth (RR 6.34, 95% CI: 1.22–40.63, p for trend = 0.027), neonatal hypoglycemia (RR 4.52, 95% CI: 1.14–17.16, p for trend = 0.017), neonatal hyperbilirubinemia (RR 4.12, 95% CI: 1.11–15.56, p for trend = 0.004), and composite neonatal outcome (RR 3.85, 95% CI: 1.01–19.61, p for trend = 0.003). In the ROC analysis, PSH predicted preeclampsia, preterm birth, neonatal hypoglycemia, neonatal hyperbilirubinemia, and composite neonatal outcome with areas under the ROC curve all ≥0.6.ConclusionsRecurrent preconception severe hypoglycemia is associated with increased risks of adverse outcomes in pregnant women with T1DM.
Prescribed fire increases plant–pollinator network robustness to losses of rare native forbs
Authors: Waters Susan M. , Mitchell Rachel M. , Brown Emily R. , Taber Ethan M. 
Published: October 2023

AbstractRestoration efforts often focus on changing the composition and structure of invaded plant communities, with two implicit assumptions: (1) functional interactions with species of other trophic levels, such as pollinators, will reassemble automatically when native plant diversity is restored and (2) restored communities will be more resilient to future stressors. However, the impact of restoration activities on pollinator richness, plant–pollinator interaction network structure, and network robustness is incompletely understood. Leveraging a restoration chronosequence in Pacific Northwest prairies, we examined the effects of restoration‐focused prescribed fire and native forb replanting on floral resources, pollinator visitation, and plant–pollinator network structure. We then simulated the effects of plant species loss/removal scenarios on secondary extinction cascades in the networks. Specifically, we explored three management‐relevant plant loss scenarios (removal of an abundant exotic forb, removal of an abundant forb designated a noxious weed, and loss of the rarest native forb) and compared them to control scenarios. Pyrodiversity and proportion of area recently burned increased the abundance and diversity of floral resources, with concomitant increases in pollinator visitation and diversity. Pyrodiversity also decreased network connectance and nestedness, increased modularity, and buffered networks against secondary extinction cascades. Rare forbs contributed disproportionately to network robustness in less restored prairies, while removal of typical “problem” plants like exotic and noxious species had relatively small impacts on network robustness, particularly in prairies with a long history of restoration activities. Restoration actions aimed mainly at improving the diversity and abundance of pollinator‐provisioning plants may also produce plant–pollinator networks with increased resilience to plant species losses.
Dining with a glutton: an intraguild interaction between scavenging wolverine (Gulo gulo) and lynx (Lynx canadensis)
Authors: Jung Thomas S. , Peers Michael J. L. , Drummond Ryan , Taylor Shawn D. 
Published: October 2023

AbstractIntraspecific interactions between mesocarnivores are not commonly observed and consequentially not well understood, particularly for species inhabiting wilderness regions. Using a remote camera, we captured interactions between a Canada lynx (Lynx canadensis) and wolverine (Gulo gulo) scavenging on the remains of a bison (Bison bison). Over a 23‐min period representing nine photographic sequences (1–3 photographs per sequence), we observed (1) a wolverine approach the remains that were being fed on by a lynx, (2) the two animals feeding on the remains at the same time for about 19 min, (3) the wolverine chasing the lynx off of the carcass and, thereafter, (4) the wolverine excluding the lynx from the carcass. Our observation is of potential scientific value because it sheds light on behavioral interactions between these two species, particularly at a rich food source. Intraguild interactions between these species appear to include tolerance toward one another, as well as interference competition, with the wolverine being the dominant species. Our observation highlights the new information on interactions between mesocarnivores that are becoming illuminated with the use of remote cameras, revealing that these interactions may be more complex than once thought.
Dapagliflozin treatment and cardiovascular outcome in RBP4/TTRVal30Met (transthyretin cardiac amyloidosis) mice
Authors: Li Zonglin , Lv Fang , Wen Xin , Guo Chengcheng , Li Li , Cai Xiaoling , Lin Chu , Zhang Mengqing , Yang Wenjia , Ji Linong 
Published: October 2023

AbstractAimsWhether sodium‐glucose co‐transporter 2 inhibitors are effective for heart failure caused by ATTR‐CA (transthyretin cardiac amyloidosis) remains uncertain. The aim of this study is to investigate the cardiovascular prognosis in ATTR‐CA mice model with dapagliflozin treatment.Methods and resultsHumanized RBP4/TTRVal50Met and RBP4/TTR mice models were constructed with clustered regularly interspaced short palindromic repeats and associated Cas9 endonuclease (CRISPR‐Cas9) techniques and multiple generations breeding. A total of 6 RBP4/TTR mice received placebo treatment, when 12 RBP4/TTRVal50Met received dapagliflozin (1 mg/kg/day, 6 mice) and placebo (6 mice) treatment. Fasting glucose, intraperitoneal glucose tolerance test, and plasma brain natriuretic peptide (BNP) concentration were measured at Day 0, Week 2, and Week 4. BNP, transforming growth factor‐beta (TGF‐β), collagen type I alpha 1 (COL1A1) protein levels, and Cola1, TGFβ1, TNFα, IL‐1β, BNP relative quantities in cardiac, along with cardiac pathology examination including right ventricular collagen percentage, ventricular septum thickness, left ventricular wall thickness, and left ventricular internal diameter were measured at Week 4 after treatment procedure. All 18 mice completed the experiment. The baseline characteristics were balanced among three treatment groups. In placebo‐treated mice, the cardiac BNP relative quantity was significantly higher in RBP4/TTRVal50Met mice than RBP4/TTR mice (RBP4[KI/KI], TTR [KI/KI]: 0.72 ± 0.46, RBP4[KI/KI], TTRVal50Met[KI/KI]: 1.44 ± 0.60, P = 0.043), indicating more significant heart failure progression in ATTR‐CA mice than normal mice. In ATTR‐CA mice, the cardiovascular prognosis measurements including heart failure (plasma BNP concentration and relative quantities of BNP), cardiac inflammation (relative quantities of Cola1, TGFβ1, TNFα, and IL‐1β), and pathological changes (right ventricular collagen percentage, ventricular septum thickness, left ventricular wall thickness, and left ventricular internal diameter) were statistically comparable between those under dapagliflozin and placebo treatment.ConclusionsDapagliflozin did not improve cardiovascular prognosis including the progression of heart failure, cardiac inflammation, and pathological changes in ATTR‐CA mice compared with placebo. The results of this study were not in support of dapagliflozin's therapeutic effects for ATTR‐CA. More pre‐clinical and clinical researches to validate these findings and demonstrate the underlying mechanisms are still required.
Optimal power allocation of battery energy storage system (BESS) using dense LSTM in active distribution network
Authors: Pattanaik Sushree Samikshya , Sahoo Ashwin Kumar , Panda Rajesh , Dawn Subhojit , Ustun Taha Selim 
Published: October 2023

AbstractForecasting of renewable energy plays a major role in deregulated power systems. The rapid change in climatic conditions poses many challenges in recent years throughout the globe to policymakers and due to this, the forecasting of solar energy has become quite difficult to forecast with conventional forecasting methods. As compared to conventional methods, machine learning algorithms have shown better accuracy due to their learning methods with uncertain parameters. The market participants such as solar photovoltaic (SPV), battery energy storage system (BESS), and thermal units undergo challenges with the optimal dispatch strategy under such uncertainties of renewable energy. In addition to the concerned integrated system, other uncertainties affect the optimal operation of the integrated system and these are line contingencies and SPV. In this paper, we have used supervised learning methods such as multilayer perceptron (MLP), recurrent neural network (RNN), and long short‐term memory (LSTM) to forecast the hourly SPV in the day‐ahead market. Among the three methods of machine learning, results show LSTM with dense has been a better forecasting method with high accuracy obtained. The role of BESS in the optimal operation of day‐ahead hourly forecasted SPV along with the hourly thermal unit dispatch in DC optimal power flow (OPF) has been investigated in the paper. The main objective of the paper is to optimally allocate the BESS in the SPV‐BESS‐Thermal unit integrated system forming an active distribution network (ADN) to minimize the operating cost under different uncertainties such as line contingencies and SPV. The hourly dispatch of thermal units, BESS, and forecasted SPV is obtained for the short‐term market. The proposed approach is validated by a modified IEEE 33 bus system and solved by mixed integer linear programming (MILP).
Nontargeted Screening of Contaminants of Emerging Concern in the Glen Valley Wastewater Treatment Plant, Botswana
Authors: Selwe Kgato P. , Sallach J. Brett , Dessent Caroline E. H. 
Published: October 2023

Abstract
There is growing concern about the prevalence and impact of contaminants of emerging concern (CECs). The environmental monitoring of CECs has, however, been limited in low- and middle-income countries due to the lack of advanced analytical instrumentation locally. In the present study we employed a nontargeted and suspect screening workflow via liquid chromatography coupled with high-resolution mass spectrometry (HRMS) to identify known and unknown pollutants in the Glen Valley wastewater treatment plant, Botswana, complemented by analysis of groundwater samples. The present study represents the first HRMS analysis of CECs in water samples obtained in Botswana. Suspect screening of 5942 compounds qualitatively identified 28 compounds, including 26 pharmaceuticals and two illicit drugs (2-ethylmethcathinone and 11-nor-9-carboxy-Δ9-tetrahydrocannabinol). Nontargeted analysis tentatively identified the presence of 34 more compounds including (5ξ)-12,13-dihydroxypodocarpa-8,11,13-trien-7-one, 12-aminododecanoic acid, atenolol acid, brilliant blue, cyclo leucylprolyl, decanophenone, DL-carnitine, N,N′-dicyclohexylurea, N4-acetylsulfamethoxazole, NP-003672, and 24 polyethylene glycol polymers. The highest number of detections were in influent wastewater (26 CECs) followed by effluent wastewater (10 CECs) and, lastly, groundwater (4 CECs). Seventeen CECs detected in the influent water were not detected in the effluent waters, suggesting reduced emissions due to wastewater treatment. Two antiretroviral compounds (abacavir and tenofovir) were detected in the influent and effluent sources. This suggests that wastewater treatment plants are a major pathway of chemical pollution to the environment in Botswana and will help inform prioritization efforts for monitoring and remediation that is protective of these key ecosystems. Environ Toxicol Chem 2024;43:52–61. © 2023 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.
Abstract
Samples from the Glen Valley wastewater treatment plant, Botswana, were subjected to nontargeted analysis using liquid chromatography coupled with high-resolution mass spectrometry to investigate the presence of contaminants of emerging concern.
The effects of different extraction methods on essential oils from orange and tangor: From the peel to the essential oil
Authors: Park Min Kyung , Cha Ji Yoon , Kang Min‐Cheol , Jang Hae Won , Choi Yun‐Sang 
Published: October 2023

AbstractCitrus fruits are largely consumed due to their unique and pleasant aromas. Citrus hybrids have been developed to enhance their flavors and bioactivities. Citrus aroma depends on the composition of the volatile compounds in citrus essential oils (CEOs), which are mostly located in the peels. During the extraction of CEOs, a specific series of chemical reactions occurred depending on the extraction methods (CP, cold pressing; HD, hydrodistillation), leading to variations in the composition of volatile compounds. In this study, the orange and the tangor which is a hybrid between C. reticulata × C. sinensis were investigated to compare the changes in volatile compounds based on the extraction methods. Results showed that the CP‐specific volatile compounds were sesquiterpenes, oxygenated monoterpenes, and fatty acid derivatives, while the HD‐specific volatile compounds were terpinyl cation derivatives, limonene, and 4‐vinylguaiacol. On the other hand, the contents of some volatile compounds ((E)‐ocimene, α‐terpinene, and α‐terpinolene) were affected by the Citrus species rather than by the extraction methods. In particular, during HD, terpinene‐4‐ol and 4‐vinylguiacol, known as off‐flavor compounds in citrus juice, were formed more abundantly in the orange than in the tangor. In conclusion, these results provide comprehensive data on essential oils, especially those derived from oranges and tangors, for selecting the appropriate extraction method for obtaining a higher yield and quality of citrus flavor.