bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effectiveness of acute myocardial infarction interventions on selected outcomes among community dwelling-older adults: a systematic review and meta-analysis
Authors: Banharak Samoraphop , Metprommarat Alin , Mahikul Wiriya , Jeamjitvibool Thanakrit , Karaket Anusorn 
Published: October 2023

AbstractThe older adult is an influential group experiencing acute myocardial infarction, delaying treatment and causing a high mortality rate. Factors related to their delay differ from other age groups, and their specific characteristics are barriers to recognizing their symptoms and learning new information. Therefore, specific innovative methods related to their limitations and needs should be considered when developing interventions promoting on-time treatment. This study aims to review intervention details and their effects on knowledge, belief, decision-making, rate of calling 911, and mortality among community-dwelling older adults at risk or after a first myocardial infarction compared to receiving usual care or no intervention. The 12 databases were searched unlimitedly until July 30, 2022. The two researchers independently reviewed the articles, and the third reviewer broke the tight when disagreement was found. Data were extracted, kinds of interventions were grouped, and intervention details were summarized narratively. Finally, the selected outcomes were analyzed by meta-analysis using a fixed and a random-effects model. Eleven articles were for final review. Interventions were categorized into eight groups: direct mail, community-based, multi-group health education, innovation methods, tailored education, structured education, tricked intervention promoting memory and concern, and nurse-based case management. Finally, the meta-analysis found that only innovative methods could increase the rate of calling 911 and taking aspirin (Odd ratio = 2.55; 95% CI = 1.01-6.44). In contrast, there were no statistically significant differences in the rate of affecting time to first unplanned readmission or death and time delay to the emergency room. Results recommended that effective and specific interventions must be developed and strengthened to promote older adults surviving acute myocardial infarction.Clinical Trial Registration Number: PROSPERO CRD42021247136.
Systematic pharmacology-based strategy to explore the mechanism of Semen Strychni for treatment of papillary thyroid carcinoma
Authors: Mao Jingxin , Tang Lijing , Fang Ling , Tian Cheng , Zhu Zhaojing , Li Yan 
Published: October 2023

AbstractThe aim of the study was to investigated the mechanism ofStrychnos nux-vomicaL. (Semen Strychni, SS) against papillary carcinoma thyroid (PTC) by combined of network pharmacology and experimental verification. By searching the TCMSP, SEA and SwissTarget Prediction database, the main active ingredients and related targets were obtained. Utilizing Venny 2.1.0 String database and Cytoscape 3.7.2 to screened the intersection target and constructed protein–protein interaction (PPI) network diagram. Using R 4.0.4 software carried out the enrichment analysis of GO and KEGG. HPLC was carried out using LC-20A modular HPLC system to identify the bioactive compound brucine present inSS. Molecular docking was performed using Discovery 2019 software. The inhibition rate was detected by CCK8 method. Western blot was used to detect the expression levels of brucine anti-PTC related pathway proteins. 14 active components were screened out, of which 4 main components showed tight relationship with PTC.SSmay play the anti-PTC role by acting on two main pathways (TNF signaling pathway and MAPK signaling pathway) and mediating various biological functions. HPLC analysis revealed that brucine was a suitable marker for standardization of theSS. 4 active components exhibit strong binding energy with core protein. Brucine could significantly reduce the activity of BCPAP cells compared with isobrucine, stigmasterol, (+)-catechin. Brucine may reduce the protein expression levels of IL-6, VEGFA, JUN, TP53, 1L1B, PTGS2, BCL2, CASP3, CASP8, and CASP9 while increase the protein expression levels of BAD, cleaved-CASP3, cleaved-CASP8, and cleaved-CASP9 in BCPAP cells, respectively. The active components ofSSagainst PTC mainly include isobrucine, stigmasterol, (+)-catechin, brucine. Among them, brucine exhibits the strongest anti-PTC activity in BCPAP cells, which may reduce the PTC-related protein expression levels. Therefore,SSmay exhibits the anti-PTC activities through multiple targets and pathways.
Summer paleohydrology during the Late Glacial and Early Holocene based on δ2H and δ18O from Bichlersee, Bavaria
Authors: Prochnow Maximilian , Strobel Paul , Bliedtner Marcel , Struck Julian , Bittner Lucas , Szidat Sönke , Salazar Gary , Schneider Heike , Acharya Sudip , Zech Michael , Zech Roland 
Published: October 2023

AbstractIsotope-based records provide valuable information on past climate changes. However, it is not always trivial to disentangle past changes in the isotopic composition of precipitation from possible changes in evaporative enrichment, and seasonality may need to be considered. Here, we analyzed δ2H on n-alkanes and δ18O on hemicellulose sugars in sediments from Bichlersee, Bavaria, covering the Late Glacial and Early Holocene. Our δ2Hn-C31 record documents past changes in the isotopic composition of summer precipitation and roughly shows the isotope pattern known from Greenland. Both records show lower values during the Younger Dryas, but at Bichlersee the signal is less pronounced, corroborating earlier suggestions that the Younger Dryas was mainly a winter phenomenon and less extreme during summer. δ18Ofucose records the isotopic composition of the lake water during summer and is sensitive to evaporative enrichment. Coupling δ2Hn-C31 and δ18Ofucose allows calculating lake water deuterium-excess and thus disentangling changes in the isotopic composition of precipitation and evaporative enrichment. Our deuterium-excess record reveals that the warm Bølling–Allerød and Early Holocene were characterized by more evaporative enrichment compared to the colder Younger Dryas. Site-specific hydrological conditions, seasonality, and coupling δ2H and δ18O are thus important when interpreting isotope records.
Orange juice containing Pediococcus acidilactici CE51 modulates the intestinal microbiota and reduces induced inflammation in a murine model of colitis
Authors: de Oliveira Vieira Karolinny Cristiny , da Silva Ana Beatriz Batista , Felício Suelen Aparecida , Lira Fábio Santos , de Figueiredo Caíque , Bezirtzoglou Eugenia , Pereira Valéria Cataneli , Nakagaki Wilson Romero , Nai Gisele Alborghetti , Winkelströter Lizziane Kretli 
Published: October 2023

AbstractThe management of inflammatory bowel diseases has been widely investigated, especially ulcerative colitis. Thus, studies with the application of new probiotic products are needed in the prevention/treatment of these clinical conditions. The objective of this work was to evaluate the effects of probiotic orange juice containing Pediococcus acidilactici CE51 in a murine model of colitis. 45 male Swiss lineage mice were used, divided into five groups (n = 9): control, colitis, colitis + probiotic (probiotic orange juice containing CE51), colitis + placebo (orange juice) and colitis + sulfasalazine (10 mg/kg/Weight). The induction of colitis was performed with dextran sodium sulfate (3%). The treatment time was 5 and 15 days after induction. Histopathological analysis, serum measurements of TNF-α and C-reactive protein and metagenomic analysis of feces were performed after euthanasia. Probiotic treatment reduced inflammation in the small intestine, large intestine and spleen. The probiotic did not alter the serum dosages of TNF-α and C-reactive protein. Their use maintained the quantitative ratio of the phylum Firmicutes/Bacteroidetes and increased Lactobacillus helveticus with 15 days of treatment (p < 0.05). The probiotic orange juice containing P. acidilactici CE51 positively modulated the gut microbiota composition and attenuated the inflammation induced in colitis.
Non-uniform failure and differential pressure relief technology of roadway under irregular goafs in deep close-distance coal seams
Authors: Yin Shuaifeng , Zheng Xinjian , Wang En , Kang Qingtao , Zhang Xiaoming 
Published: October 2023

AbstractIn response to the control problems of large-deformation roadways in close-distance coal seams, taking a typical roadway under irregular goafs and residual coal pillar in deep close-distance coal seams as the background, the characteristics of mine pressure and key difficulties in surrounding rock control of roadway are explored and an improvement strategy for controlling surrounding rock is proposed. The stress expression in roadway floor under the influence of residual coal pillar is derived by theoretical calculation. The peak lines of deviatoric stress and vertical stress in roadway after the mining of the upper coal seam are obtained by numerical simulation. The roadway is divided into two key zones: ordinary zone and disturbance zone by residual coal pillar, and the disturbance range of roadway below residual coal pillar is determined to be 44.60 m. It reveals the differential, asymmetric, and non-uniform distortion and failure laws of roadway at different positions under irregular goafs and residual coal pillar. The differential control technology named asymmetric support in ordinary zone of roadway and combined support and drilling pressure relief in disturbance zone below residual coal pillar is proposed. The feasibility of differential pressure relief and control technology has been verified through on-site engineering test, which ensures the safety and stability of roadway and provides technical references for surrounding rock control in similar deep and complex roadways.
Basophils absence predicts poor prognosis and indicates immunosuppression of patients in intensive care units
Authors: Chen Xiao , Zhu Xiaofeng , Zhuo Huichang , Lin Jiandong , Lin Xian 
Published: October 2023

AbstractImmune cells and immunity are associated with the prognosis of patients with critical illness. Here, medical records retrospectively extracted from the Medical Information Mart for Intensive Care IV were used for screening an immune-related biomarker in intensive care units (ICU) patients and applied for validating the identified indicator in septic patients. In this work, the count of innate immune cells, basophils, harbored a superior role in predicting ICU patients’ prognosis compared with those of other blood immune cells (OR 0.013, 95% CI 0.001, 0.118, P < 0.001). Importantly, basophils absence during ICU stay was positively correlated with the 28-day mortality of ICU patients and served as an independent predictor of ICU patients’ prognosis (OR 3.425, 95% CI 3.717–3.165, P < 0.001). Moreover, the association between critical illness progression, poor outcome, and basophils absence was verified in septic patients. Subsequent investigations revealed the positive relationship between basophils absence and immunosuppression, and suggested the potential of basophils-mediated immunity in predicting the 28-day mortality of ICU patients. Collectively, we identify basophils absence during ICU stay as a novel and unfavorable indicator for evaluating the prognosis of ICU patients and recognizing a branch of ICU patients potentially suitable for intensified treatment and immunoenhancement therapy.
Impact of probe sonication and sulfuric acid pretreatment on graphene exfoliation in water
Authors: Mohammedture Meriam , Rajput Nitul , Perez-Jimenez Ana Isabel , Matouk Zineb , AlZadjali Shroq , Gutierrez Monserrat 
Published: October 2023

AbstractGraphene is a 2D material with promising commercial applications due to its physicochemical properties. Producing high-quality graphene economically and at large scales is currently of great interest and demand. Here, the potential of producing high-quality graphene at a large scale via water-phase exfoliation methods is investigated. By altering exfoliation parameters, the production yield of graphene and flake size are evaluated. Pretreatment of the precursor graphite powder using acidic solutions of H2SO4 at different concentrations is found to increase further the yield and structural quality of the exfoliated graphene flakes. These findings are confirmed through various spectroscopy and surface characterization techniques. Controlling flake size, thickness, and yield are demonstrated via optimization of the sonication process, centrifuge time, and H2SO4 pretreatment.
Predicting mortality in brain stroke patients using neural networks: outcomes analysis in a longitudinal study
Authors: Someeh Nasrin , Mirfeizi Mani , Asghari-Jafarabadi Mohammad , Alinia Shayesteh , Farzipoor Farshid , Shamshirgaran Seyed Morteza 
Published: October 2023

AbstractIn this study, Neural Networks (NN) modelling has emerged as a promising tool for predicting outcomes in patients with Brain Stroke (BS) by identifying key risk factors. In this longitudinal study, we enrolled 332 patients form Imam hospital in Ardabil, Iran, with mean age: 77.4 (SD 10.4) years, and 50.6% were male. Diagnosis of BS was confirmed using both computerized tomography scan and magnetic resonance imaging, and risk factor and outcome data were collected from the hospital’s BS registry, and by telephone follow-up over a period of 10 years, respectively. Using a multilayer perceptron NN approach, we analysed the impact of various risk factors on time to mortality and mortality from BS. A total of 100 NN classification algorithm were trained utilizing STATISTICA 13 software, and the optimal model was selected for further analysis based on their diagnostic performance. We also calculated Kaplan–Meier survival probabilities and conducted Log-rank tests. The five selected NN models exhibited impressive accuracy ranges of 81–85%. However, the optimal model stood out for its superior diagnostic indices. Mortality rate in the training and the validation data set was 7.9 (95% CI 5.7–11.0) per 1000 and 8.2 (7.1–9.6) per 1000, respectively (P = 0.925). The optimal model highlighted significant risk factors for BS mortality, including smoking, lower education, advanced age, lack of physical activity, a history of diabetes, all carrying substantial importance weights. Our study provides compelling evidence that the NN approach is highly effective in predicting mortality in patients with BS based on key risk factors, and has the potential to significantly enhance the accuracy of prediction. Moreover, our findings could inform more effective prevention strategies for BS, ultimately leading to better patient outcomes.
Simulating the structural phase transitions of metal-organic frameworks with control over the volume of nanocrystallites
Authors: Schaper Larissa , Schmid Rochus 
Published: October 2023

AbstractFlexible metal-organic frameworks (MOFs) can undergo structural transitions with significant pore volume changes upon guest adsorption or other external triggers while maintaining their porosity. In computational studies of this breathing behavior, molecular dynamics (MD) simulations within periodic boundary conditions (PBCs) are commonly performed. However, to account for the finite size and surface effects affecting the phase transition mechanism, the simulation of non-periodic nanocrystallite (NC) models without the constraint of PBCs is an important alternative. In this study, we present an approach allowing the analysis and control of the volume of finite-size structures during MD simulations by a tetrahedral tessellation of the (deformed) NC’s volume. The method allows for defining the current NC’s volume during the simulation and manipulating it regarding a particular reference volume to compute free energies for the phase transformation via umbrella sampling. The application on differently sized DMOF-1 and DUT-128 NCs reveals flexible pore closing mechanisms without significant biasing of the transition pathway. The concept provides the theoretical foundation for further research on flexible materials regarding targeted initialization of the structural phase behavior to elucidate the underlying mechanism, which can be used to improve the applications of flexible materials by targeted controlling of the phase transition.
Contact-free impacts of sessile reef organisms on stony coral productivity
Authors: Engelhardt Kara E. , Vetter Jana , Wöhrmann-Zipf Franziska , Dietzmann André , Proll Franziska M. , Reifert Hannah , Schüll Ilona , Stahlmann Max , Ziegler Maren 
Published: October 2023

AbstractCoral reefs are biodiversity and productivity hotspots where space limitation makes interactions between organisms inevitable. Biodiversity loss alters these interactions, however downstream effects on the productivity of individual species remain unexplored. Here, we quantified immediate and long-term changes in stony coral productivity in response to contact-free interactions with various benthic organisms (stony corals, soft corals, macroalgae, sponges). We show that corals sense the presence of other organisms and subsequently modulate their productivity. Each stony coral species had a characteristic reaction to contact-free stimuli, while the identity of the interaction partner was of subordinate importance. Our data highlight downstream effects that biodiversity loss and shifting coral reef communities may have through indirect modulation of productivity, resulting in uneven effects among species. The productivity response is probably mediated by secondary metabolites released into the water. The underlying communication pathways that mediate these interactions remain to be investigated.
Towards secure and resilient unmanned aerial vehicles swarm network based on blockchain
Authors: Zhou Xin , Yang Lin , MA Linru , He Huasen 
Published: October 2023

AbstractBlockchain, as an emerging technology, has found diverse applications in solving trust issues in multi‐party cooperation. The field of Unmanned Aerial Vehicle (UAV) swarm networks is no exception, as UAVs are susceptible to attacks from malicious counterparts due to limited computing and storage resources. In this paper, the authors present an adaptive networking mechanism for UAVs based on blockchain technology, which incorporates three key technologies. Utilizing Global Unique Identifier (GUID) and block storage, UAVs can achieve rapid identity authentication and efficient swarm switching. By evaluating node participation in block consensus, malicious nodes within the UAV swarm can be accurately identified. Additionally, routing learning based on node security attributes and link quality ensures secure and efficient data transmission. Simulation test results demonstrate the practicality and applicability of the proposed blockchain‐based adaptive networking mechanism for UAV swarm networks.
Ground‐based cloud recognition method based on an improved DeepLabV3+ model
Authors: Liang Yue , Ge Quanbo 
Published: October 2023

AbstractAn improved method for recognising clouds on the ground map is proposed incorporating the DeepLabV3+ model to solve three issues. Firstly, an image preprocessing module is developed to enrich image quality, particularly at night, as clouds can appear to be too blurry to distinguish. Secondly, the CBAM attention mechanism is applied to safeguard texture and boundary information, ensuring the depiction of cirrus edges is not lost. Finally, the feature extraction network can be optimised to enhance the model and decrease its computational complexity. In comparison to the original model, the accuracy of the proposed method increased by 10.89%, resulting in an overall accuracy of 94.18%. Furthermore, the MIoU has improved from 66.02% to 79.31%. The number of parameters was reduced by 51.45% to 13.4 M. Of the various cloud types, the improvement in cirrus is particularly striking, with the MIoU increasing from 1.78% to 56.01%.
Optimal transmission switching strategy for multi‐infeed DC receiving‐end power network to prevent over‐limit of short‐circuit current
Authors: Li Shaoyan , Zhang Youhao , Gu Xueping , Yan Lei 
Published: October 2023

AbstractA large‐scale AC/DC hybrid power network has recently been constructed in China because of the fast development of high voltage direct current (HVDC) technology. The receiving AC system must have sufficient system strength to guarantee the safe operation of the DC side. The paradox is that raising the AC side system's strength will increase the short‐circuit current (SCC) level, endangering the safety of the system. In order to resolve the contradiction between the system strength of multi‐infeed DC receiving‐end power networks and SCC, this paper proposes an optimal transmission switching strategy. Firstly, the system strength is characterised by the multi‐infeed short‐circuit ratio (MISCR), followed by constructing a comprehensive constraint set that considers the MISCR and SCC simultaneously. Secondly, to optimize SCC with MISCR and N−1 safety constraints, a mixed integer linear programming model is developed. Finally, to enhance the computing performance for large power systems, a new connectivity constraint set and decision space reduction techniques are provided. The proposed method is tested for effectiveness using the IEEE 30‐bus and IEEE 118‐bus systems.
An extensive critique on expert system control in solar photovoltaic dominated microgrids
Authors: CR Sarin , Mani Geetha , Stonier Albert Alexander , Peter Geno , Kumaresan Praghash , Ganji Vivekananda 
Published: October 2023

AbstractSolar and wind power have recently become a potential option in power systems and act significantly to meet load penetration demands. The present growth of such renewable energy sources has shown an exponential increase. The high penetration of such system helps a grid effectively meet its load in an irregular demand but also creates some disturbances in the grid due to frequent additions and detachments of load or source. The way by which the renewable energy sources usually work in the on‐grid mode is to be attached to and cut down from the grids without creating disturbances in a stable grid. Another important requirement is effective load management with fewer transmission losses. This article presents a detailed review of a microgrid and enumerates the possible methods for the analysis of the system, feature extraction, control methods, and options for machine learning. This paper examines the factors affecting the operations in a power system, their nature, interdependability, and controllability. It also inspects the various machine learning algorithms, their feasibility, and possible applications in power systems. The major contribution of the paper is the elucidation of expert system control methods for the performance improvement of solar PV assisted DC microgrids. The major objective of the paper is to provide an overview on various algorithms intended for the microgrid systems pertaining to its accuracy, precision, classification, prediction and forecasting.