bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Optimal Strategy for Global Carbon Reduction Using Evolutionary Game Theory: A Study Based on the Paris Agreement
Authors: YAN Fulei , CHEN Beibei , WEN Chenqian , GUO Jie 
Published: February 2023

Abstract
Based on the Paris Agreement's principle of institutional arrangement for independent contributions to reduce CO2 emissions, we divided the Paris Agreement Parties into developed and developing countries as a game between the two sides. Under the assumption of limited rationality, the selection strategies of both sides are divided into three categories: strict adherence, partial compliance, and non-compliance. Using evolutionary game theory and methods to analyze the game strategies chosen by both sides, and using simulation methods to verify the scenarios under different parameters, the game subjects both strictly adhere to the carbon reduction agreement and do not perform the optimal strategy choice. We find that the developed countries' strict adherence to carbon reduction commitments has a very significant positive impact on carbon reduction in other countries. Therefore, we propose that it is a prerequisite for the developed countries to strictly adhere to the treaty obligations, which is the prerequisite for the implementation of the global carbon reduction target, and the developing countries' strict adherence to the treaty obligations is the key to realizing the goal. Moreover, we suggest that the international community should strengthen the supervision and implementation of the Paris Agreement, and provide more support and assistance to developing countries to ensure the successful implementation of the Paris Agreement.
Disrupted in Schizophrenia 1 reverse ectopic migration of neural precursors in mouse hilus after pilocarpine-induced status epilepticus
Authors: Chen Lu , Xu Jing , Zhu Lin , Xu Puying , Chang Lvhua , Han Yanbing , Wu Qian 
Published: February 2023

AbstractNeural precursors in the subgranular zone (SGZ) can be stimulated by status epilepticus (SE) and ectopically migrate to the hilus. These mislocated cells serve as "potential pacemakers" of spontaneous recurrent seizures, and targeting them could potentially reverse the seizure process. Disrupted-in-Schizophrenia 1 (DISC1) regulates hippocampal neurogenesis after seizures bothin vitroandin vivo. Our previous study found that DISC1 was colocalized with neural precursors in the hilus after SE. However, its molecular mechanism and pathways contribute to the ectopic migration of neural precursors to the hilus induced by SE awaits exploration. Here, we showed that both Reelin-ApoER2/EphB2 and Reelin-Integrin β1/Integrin α5 axes may participate in the modulation of neurogenesis after SE. Especially, DISC1, as a protective role, partly reversed the ectopic progenitor migration via EphB2 pathway. Our findings demonstrated that DISC1 played a protective role in the ectopic migration of neural precursors induced by SE insults and DISC1 could be an attractive new target for the treatment of epilepsy.
Natural Enzymes from Germinated Winter Wheat (Triticum aestivum L) and Buckwheat ( Fagopyrum esculentum) for Chitin Isolation from Shrimp Shells
Authors: Ng Ying , Khor Jing Wei , Chang Ying Ping 
Published: February 2023

Abstract
The industrial approach for chitin extraction from crustaceans' shells involves chemical methods using a large amount of acid and alkaline. Using natural protease in combination with chemicals can reduce the use of the chemicals in extracting chitin. Crude enzymes from germinated winter wheat (Triticum aestivum) and buckwheat (Fagopyrum esculentum) were applied in the deproteinization step during chitin isolation from shrimp shells. Crude enzymes extracted from germinated winter wheat and buckwheat exhibited proteolytic activity of approximately 0.49 U/mL and 0.46 U/mL, respectively. Using these crude enzymes separately to remove protein from demineralized shrimp shells yielded 30.31 ± 5.31% and 29.15 ± 3.99% chitin, respectively. Functional groups and crystallinity index of chitin isolated with winter wheat or buckwheat enzymes were compared with commercially available chitin and chemical-isolated chitin through Fourier Transform Infrared Spectroscopy (FTIR) analysis and x-ray diffraction analysis. The characteristic functional groups observed were amide I, amide II, amide III, asymmetric stretching of the C-O-C bridge, O-H stretching, NH stretching and asymmetric CH stretching. The crystallinity index for commercial chitin, chemical-isolated chitin, wheat extract- and buckwheat extract-isolated chitin were 86.49%, 88.74%, 88.82% and 75.87%, respectively. Buckwheat extract-isolated chitin, which was deacetylated with lower crystallinity, warrants further investigation. Natural enzymes from winter wheat and buckwheat to remove protein from shrimp shells can be a more environment-friendly method to valorize shrimp shells as a chitin source.
The Diagnostic Value of the Systemic Immune-Inflammatory Index in Acute Appendicitis Cases in the Emergency Department
Authors: TELAFARLI Mehmet Ali , YENİ Mustafa 
Published: February 2023

Abstract
Background and aim:
Acute appendicitis (AA) is one of the most common causes of acute abdomen conditions and continues to cause mortality and morbidity despite all the improvements. There is still a necessity for inexpensive and easily calculable index and scoring systems with fewer side effects for the diagnosis of AA and the detection of complications. Since the systemic immune-inflammation index (SIII) is an index that could be used in this context, we aimed to measure the success and reliability of SIII for the diagnosis of AA and related complications and to contribute to the literature.
Methods
Our study was carried out retrospectively in a tertiary care hospital and conducted with 180 AA patients (study group-SG) and 180 control group (CG) patients. Demographic data, laboratory data, and clinical data of the cases, as well as Alvarado score (AS), Adult Appendicitis Score (AAS), and SIII and neutrophil/lymphocyte ratio (NLR) values calculated from laboratory data were recorded in the previously created study form. p < 0.05 was accepted as the significance level for the study.
Results
In this study, age and gender were similar in the SG and CG groups. SIII and NLR levels calculated in SG cases were found to be significantly higher than CG. In addition, SIII and NLR levels were found to be significantly higher in complicated AA cases than in complicated cases. Although SIII was more significant in the diagnosis of AA; NLR was more successful than SIII in detecting the presence of complications. SIII, NLR, AAS, and AS were significantly positively correlated in the diagnosis of AA. In the presence of peritonitis, SIII and NLR were also found to be significantly higher when compared to cases without peritonitis.
Conclusions
We found that SIII is a usable index in the diagnosis of AA and the prediction of complicated AA. However, NLR was found to be more significant than SIII in estimating complicated AA. In addition, it is recommended to be careful in terms of peritonitis in cases with high SIII and NLR levels.
Enterprise data security storage integrating blockchain and artificial intelligence technology in investment risk management
Authors: Wu Jiangong , Jiang Hongyan , Chen Jingxue 
Published: February 2023

Abstract
Some multinational enterprises have comparatively poor property and resource management. Materials Inventory information is easily lost during storage, which prevents managers from getting timely access to an enterprise's financial information., It increases the likelihood of foreign investment risks that results in financial crisis. Therefore, this paper presents a secure storage system of Material Inventory Data (MID) that integrates blockchain and artificial intelligence technology. The three components of blockchain are transaction, block, and chain which create a hierarchical structural model. The probability that the system is attacked by multiple intruders is calculated as the system constraint function, and the target constraint conditions are divided, and accordingly a model of the safe storage mechanism is established. Additionally, the incentive mechanism is used, in which several nodes come to an agreement on the block contents. It achieves model optimization and guarantees block income maximization. The simulation results demonstrate that the data storage delay time of the suggested system is shorter than that of the conventional approach. (Moreover, there is very little data loss, which helps to effectively ensure the integrity of enterprise data security storage).
The Occurrence and Extent of Anxiety and Distress among Dutch Travellers after encountering an Animal Associated Injury
Authors: Warmerdam Anouk M. T. , Luppino Floriana S. , Visser Leo G. 
Published: February 2023

Abstract
Background
Prompt administration of post-exposure prophylaxis (PEP) is crucial to prevent a fatal rabies infection after an animal-associated incident (AAI), preferably within 24 hours. PEP, especially in case of a type III injury for which rabies immune globulin (RIG) is needed, is difficult to obtain abroad. This, along with the fear of potentially having contracted a lethal disease, might be an important source for anxiety and distress. We investigated the occurrence and extent of self-reported anxiety and distress at different timepoints among Dutch travellers after encountering an AAI, and the involved factors.
Methods
A retrospective quantitative observational study was conducted including insured Dutch travellers who actively contacted Eurocross Assistance after encountering an AAI abroad. An online questionnaire was designed to measure anxiety and distress levels, using the HADS (Hospital Anxiety and Depression Scale) and distress thermometer at three time points: departure (T1), post-AAI (T2), and treatment administration (T3). Statistical analyses included T-tests, Chi-square tests, and ANCOVA analyses.
Results
We showed a significant increase in mean anxiety and distress scores at T2, and a significant decrease at T3. Women were more often anxious and distressed. Between T1 and T2, PrEP, and being aware of the risks were positively associated with anxiety levels, and PrEP and WHO region Africa with distress levels. Between T2 and T3, anxiety levels remained higher for monkey-induced injury, thoracic injuries, and WHO region Southeast Asia. PEP-delay between 24–48 hours resulted in decreased distress levels at this time period, while type II injury elevated distress levels.
Conclusions
This study showed significant anxiety and distress levels after an AAI among the vast majority of travellers, which is detrimental to their health-related quality of life (HR-QOL). This highlights the importance of proper pre-travel information. We recommend pre-travel advice to underline these aspects in relation to HR-QOL.
Efficacy and safety of alfentanil plus propofol versus propofol only in painless gastrointestinal endoscopy: a meta-analysis
Authors: Huan Yang , Xiaoling Shi , Longqiu Yang 
Published: February 2023

Abstract
Objective: To systematically evaluate the efficacy and safety of alfentanil plus propofol versus propofol-only for painless gastrointestinal endoscopy.
Methods: The Cochrane Library, PubMed, Embase, China Biology Medicine (CBM), CNKI, WanFang and VIP databases were searched to identify randomized controlled trials (RCTs) on alfentanil combined with propofol versus propofol only for painless gastrointestinal endoscopy from the inception of the database to August 2022. The Rev Man 5.4 software was used for statistical analyses.
Results: Thirteen RCTs involving 1762 patients were identified as eligible for this study. The meta-analysis showed that compared with propofol, alfentanil combined with propofol had a more stable mean arterial pressure (MD=5.38, 95%CI: 1.97～8.80; P=0.002), heart rate (MD=3.78, 95%CI: 1.30～6.26; P=0.003) and pulse oxygen saturation (MD=1.90, 95%CI: 0.93~2.78; P=0.0001); a lower propofol dose (SMD=-2.82, 95%CI: -3.70~-1.94; P<0.00001), awakening time (MD=-3.23, 95%CI: -4.01~-2.45; P<0.00001) and directional force recovery time (MD=-3.62, 95%CI: -4.22～-3.03; P<0.00001); a lower incidence of nausea and vomiting (RR=0.32, 95%CI: 0.14~0.71; P=0.005), body movement (RR=0.27, 95%CI: 0.13～0.54; P=0.0002), hypotension (RR=0.23, 95%CI: 0.12～0.46; P<0.0001), respiratory depression (RR=0.37, 95%CI: 0.15～0.89; P=0.03) and cough reflex (RR=0.33, 95%CI: 0.12~0.89; P=0.03).
Conclusion: This meta-study found that current evidence indicates that alfentanil plus propofol is better than propofol alone for painless gastrointestinal endoscopy and is associated with a lower incidence of adverse reactions. Due to the limited quality and quantity of the included studies, more high-quality studies are needed to validate these above conclusions.
Laminar-turbulent transition experiment on the effect of surface imperfections on an NLF airfoil in transonic flow
Authors: Methel Jeanne , Méry Fabien , Vermeersch Olivier , Forte Maxime , Delattre Gregory , Rouvière Adrien 
Published: February 2023

Abstract

In the present study, the effect of various twodimensional surface defects (forward-facing steps and ramps, backward-facing steps and ramps, gaps and steps-and-gaps) on boundary-layer transition was experimentally investigated in the transonic regime. A laminar profile was specifically designed and manufactured by ONERA so as to allow for a maximum of defects to be tested simultaneously, and to include resin pockets to accurately monitor laminar-turbulent transition using infra-red thermography. Transition was also characterised using the ∆N model based on linear stability calculations. Relatively good agreement with existing ∆N models for forward and backward facing steps as well as gaps was found, indicating that these models, which were mostly developed for incompressible flows, can still be used as a conservative estimate for compressible flows. More practical defects referred as step-and-gap were also considered.
A technology to reduce ammonia emission via controllingproteolytic bacterial community and physicochemical properties
Authors: Huang Ying , Chen Yuehong , Huang Hongying , Lin Jiujun , Yan Meiling , Guo Chengbao , Xiao Xu 
Published: February 2023

Abstract
Proteolysis is the rate-limiting step involved in ammonification during organic nitrogen mineralization, and which relates to the amount of ammonia (NH3) volatilized and ammonium (NH4+) released in the composts. However, the dynamic of bacterial proteolytic communities related with NH3 emissions in composting systems are mostly unknown. This study aimed to examine and compare the effects of hyperthermophilic pretreatment composting (HPC) and traditional composting (TC) on (i) the difference of NH3 loss and nitrogenous compounds; (ii) the dynamics of the proteolytic bacterial community participated in proteolysis in composting systems on the basis of the functional genes (npr and sub); (iii) the link between the proteolytic bacterial community, biophysiochemical characteristics and NH3 loss. Results revealed that the HPC was able to decrease NH3 loss by 41.5% compared to TC during 60-day composting, together with an inhibitory effect on protease activity. Particularly, the relative abundances of proteolytic bacteria (Bacillus megaterium and Staphylococcus cohnii) with high proteolytic capability reduced significantly in HPC. Partial least-squares path modeling suggested physicochemical properties such as higher temperature as well as lower C/N ratio played a dominant role in affecting the abundance of proteolytic bacteria, which may have been an important factor contributing to the lower NH3 loss in HPC. These findings suggest that HPC can significantly reduce NH3 loss and enhance our understanding of proteolytic bacteria in composting systems.
GSMDA: GCN-Based Semi-Supervised Multi-Modal Domain Adaptation for Real-Time Disaster Detection
Authors: Gou Yingdong , Wang Kexin , Wei Siwen , Shi Changxin 
Published: February 2023

Abstract
Nowadays, with the rapid expansion of social media as a means of quick communication, real-time disaster information is widely disseminated through these platforms. Determining which real-time and multi-modal disaster information can effectively support humanitarian aid has become a major challenge. In this paper, we propose novel end-to-end model, named GCN-based Semi-supervised Multi-modal Domain Adaptation (GSMDA), which consists of three essential modules: the GCN-based feature extraction module, the attention-based fusion module, and the MMD domain adaptation module. The GCN-based feature extraction module integrates text and image representations through GCNs, while the attention-based fusion module then merges these multi-modal representations using an attention mechanism. Finally, the MMD domain adaptation module is utilized to alleviate the dependence of GSMDA on source domain events by computing the maximum mean discrepancy across domains. our experiments results demonstrate that GSMDA outperforms the current state-of-the-art models in terms of performance and stability.
LCP2 expression is correlated with an abundance of immune infiltrates and is a potential prognostic biomarker in lung adenocarcinoma
Authors: zou sheng , Ye Jiayue , Zou Sheng , Tan Jiameng , Wei Yiping , Xu Jianjun 
Published: February 2023

Abstract

Objective:To investigate the effect of LCP2 expression in lung adenocarcinoma on the prognosis and microenvironment of patients.Methods:The expression of LCP2 in lung adenocarcinoma tissues and normal tissue samples were analyzed by the TCGA database. Kaplan–Meier survival analysis was used to evaluate the relationship between expression level and prognosis of patients. The effect of differential expression of LCP2 on tumor cells was verified by Colony formation, CCK-8, wound healing, Transwell, and apoptosis. To analyze the relationship between LCP2 expression and immune infiltration in lung adenocarcinoma cells. The expression level of LCP2 was significantly correlated with tumor immune cell infiltration and immune checkpoint expressionResults:LCP2 expression was downregulated in lung adenocarcinoma, and patients with a low expression level of lung adenocarcinoma had a poor prognosis. LCP2 overexpression significantly inhibited the proliferation, migration, invasion, and tumor sphere formation potential. LCP2 overexpression enhanced apoptosis. The expression level of LCP2 was significantly correlated with tumor immune cell infiltration and immune checkpoint expression.Conclusion:The expression of LCP2 is low in lung adenocarcinoma, which is related to the prognosis and tumor immunity of lung adenocarcinoma patients, and can be used as a potential target for the treatment of lung adenocarcinoma patients
Analysis of electrochemical machining of involute internal spline by foamed metal cathode
Authors: Huang Yi 
Published: February 2023

Abstract
The foamed metal material is novelty applied to manufacture the tool cathode to realize the electrochemical machining(ECM)of involute internal spline of difficult-to-cut materials. The porosity and electrolyte flow characteristics of the foamed brass cathode are analyzed. The geometric and mathematical model of involute internal spline by ECM is built, and the relevant electric field simulations with different machining voltages, electrolyte types and cathode feed rates which directly determined the ECM results are conducted by COMSOL Multiphysics software. From the simulation results, the suitable process parameters are obtained and then carried out process experiments. The experiment results show that the foamed metal material can be used to fabricate the tool cathode for ECM. And when the machining voltage is 10 V, the electrolyte is 2% NaCl + 8% NaNO3 solution, the cathode feed rate is 1.00 mm/min, the involute internal spline formed by axial ECM can get a better profile which basically meets the finishing requirements. The application of the foamed metal cathode laid a new technical foundation for the ECM to manufacture complex internal structures and from design theory to contemporary industrial praxis.
DSN1 may predict poor prognosis of lower-grade glioma patients and may be a potential target for immunotherapy
Authors: Liu Zhendong , cheng xingbo , Li Pengxu , Liang Wenjia , Zhu Qingyun , Zhang Jiangfen , Chang Haigang , GAO YANZHENG 
Published: February 2023

Abstract
Background: The effect of the DSN1 gene or its methylation in the prognosis, molecular characteristics, and immune cell infiltration of LGG has not yet been revealed.
Methods: We obtained 1046 samples from TCGA database, CGGA microarray database, and CGGA RNA-Seq database. A series of bioinformatics methods (GSEA, chi-square test, multivariate, and others) and laboratory validation were used to explore the value of DSN1 in LGG.
Results: The results confirmed that the expression levels of DSN1 mRNA and protein in LGG were significantly higher than those in normal brain tissues, and their expression was negatively regulated by its methylation. Moreover, the survival times of patients with low expression of DSN1 and hypermethylation of cg12601032 were significantly prolonged. More importantly, DSN1 was not only a risk factor but also had a good diagnostic value for patient prognosis. It must be emphasized that the expression of DSN1 is related to many kinds of tumor-infiltrating immune cells and has a positive relationship with PD-L1. Furthermore, the GSEA results showed that DSN1 promotes the activation of multiple cancer-related pathways, such as cell cycle. Finally, laboratory results showed knockdown of DSN1significantly inhibited the proliferation and invasion of LGG cells.
Conclusions: This study is the first comprehensive analysis of the mechanism of DSN1 leading to poor prognosis of LGG, which provides a new perspective for revealing the pathogenesis of LGG. DSN1 or its methylation not only has diagnostic value for the prognosis of glioma, but may also become a new biological target of anti-tumor immunotherapy.
Interpretable ML-based forecasting of CMEs associated with flares
Authors: Raju Hemapriya , Das Saurabh 
Published: February 2023

Abstract
Coronal Mass Ejections (CMEs) that cause geomagnetic disturbances at Earth can be found in conjunction with flares, filament eruptions, or independent. Though, flares and CMEs are understood as triggered by a common physical process magnetic reconnection, yet, the degree of association is challenging to predict. Using eight Machine Learning models, we attempted to predict the association of CMEs with flares. From Solar Dynamic Observatory/Helioseismicand Magnetic Imager (SDO/HMI) images, magnetic field features known as Space Weather HMI Active Region Patches (SHARPs) are derived and utilised as numerical input to ML models. Since flares with CME events are occasional, to address the class imbalance, we have explored approaches such as undersampling majority class, oversampling minority class and Synthetic Minority Oversampling TEchnique (SMOTE) on the training data. We observe that the SVM and LDA performs best among all with True Skill Score (TSS) around 0.78±0.09 and 0.8±0.05 respectively. To improve the predictions, we attempted to incorporate differences in features from the prior time lag data as temporal information along side the existing dataset. LDA achieves a TSS of 0.92±0.04. We study important SHARP features that are essential for formulating predictions of SVM and LDA models using the wrapper technique and permutation based model interpretation methods for both the approaches. The study will help in better understanding of the physical processes as well in developing real time prediction of the CME events.