bluuebunny/crossref_metadata_2025_split huggingface dataset:
Generalization of spectral stochastic finite element method for analysis of structures with elastoplastic materials
Authors: rahimibondarabadi hosseinali , mousaviamjad seyedsajad 
Published: December 2022

Abstract
The significance of the influence of uncertainty and stochastic approach-related problems on engineering system analysis is now evident and irrefutable. On the other hand, considering the factors that apply these uncertainties in the findings should need a significant amount of computing cost and effort, which is why researchers are always looking for approaches that combine high calculation accuracy with speed. One of the most useful tools for analyzing systems with uncertainty in computational stochastic mechanics is the spectral stochastic finite element method. In the present paper, by applying uncertainty to the applied loads and elastic modulus, this method has been developed to analyze the structures with nonlinear materials, and a method called the nonlinear spectral stochastic finite element method (NLSSFEM) has been proposed. The results obtained from the used method have been compared with the results obtained from the Monte Carlo simulation method. The accuracy of calculations and the speed of access to the solution of the proposed method are evaluated as desirable.
Selection of reference genes for RT-qPCR analysis of rice with Rhizoctonia solani infection and PGPR/KSi application
Authors: Hashemipetroudi Seyyed Hamidreza , Ghorbani Hamid Reza , Rostami Mehdi , Rezaei Ali , Goodwin Paul H. , Kuhlmann Markus 
Published: December 2022

Abstract
Background: Rhizoctonia solani AG1 IA is an important pathogen of rice (Oryza sativa L.) that causes rice sheath blight (RSB). Since control of RSB by conventional measures has failed, novel strategies like application of plant growth-promoting rhizobacteria (PGPR) can be an efficient alternative.
Method and Results: mRNA sequences of rice were retrieving from NCBI for candidate reference genes selction, and seven candidate reference genes (RGs), namely 18SrRNA, ACT1, GAPDH2, UBC5, RPS27, eIF4aand CYP28, were selected for their stability in real-time quantitative PCR (RT-qPCR). Different algorithms were exploited, Delta Ct, geNorm, NormFinder, BestKeeper, and Comprehensive ranking by RefFinder, to evaluate RT-qPCR of rice in tissues infected with R. solani and treated with the PGPR strains, Pseudomonas saponiphilia and Pseudomonas protegens, and potassium silicate (KSi) alone or in combination with each PGPR strain. RGs stability was affected by each treatment and treatment-specific selection was approved and validated for nonexpressor of PR-1(NPR1) for each treatment.
Conclusion: Overall, ACT1 was the most stable RG with R. solani infection alone, GAPDH2 with R. solani infection plus KSi, UBC5 with R. solani infection plus P. saponiphilia, and eIF4a with R. solani infection plus P. protegens. Both ACT1 and RPS27 were the most stable with the combination of KSi and P. saponiphilia, while PRS27 was the most stable with the combination of KSi and P. protegens
Vancomycin protects against acute respiratory distress syndrome by promoting butyrate metabolism
Authors: Chen Jianuo , Zhang Xi , Xiong Fen , Zheng Hong , Zhang Wenli , Shen Yuying , Lin Pengcheng , Gao Hongchang , Li Yuping 
Published: December 2022

Abstract
Background
Acute respiratory distress syndrome (ARDS) represents a clinical syndrome featuring refractory hypoxemia. Several reports have identified the role of the gut microbiota in affecting the immune activity and pathological characteristics of respiratory disorders via the gut-lung axis. However, the precise metabolic mechanism remains unknown. The present work focused on investigating the processes by which gut microbiota influence ARDS and identifying potential therapeutic targets of ARDS.
Methods
The feces and serum samples of 23 ARDS patients were collected, and a lung injury model was generated by transplanting microbiota from ARDS patients into healthy C57BL/6J mice. The changes in the gut microbiota and metabolic phenotypes of the feces samples from ARDS patients and lung-injured mice were analyzed using 16sRNA sequencing technology and metabolomics based on 1H nuclear magnetic resonance (NMR), respectively. The effect of gut microbiota on ARDS was also explored after giving an oral vancomycin treatment to lung-injury mice. Further, enzyme-linked immunosorbent assay (ELISA) was used to evaluate the hyperinflammatory response in mice and intestinal permeability in ARDS patients. Additionally, qRT-PCR and staining were performed to analyze colonic barrier function and permeability.
Results
Firmicutes formed the vital species of microbiota that was different in lung-injury mice. Moreover, butyrate (produced by Firmicutes) was the most crucial metabolite in the feces samples of ARDS patients and lung-injury mice. Elisa and HE results showed aggravated functional disturbances in the intestinal barrier of ARDS patients and lung inflammation in the lung-injured mice. These phenomena were significantly alleviated after the oral administration of vancomycin. Besides, the utilization of butyrate in the colon of mice was increased considerably. The level of butyrate was reduced in the feces but increased in the colon.
Conclusions
Thus, vancomycin affects butyrate metabolism in the colon by influencing the gut microbiota. Modulating colonic butyrate metabolism could help treat ARDS.
Modular Dual Mobility Articulation in primary and revision hip arthroplasty: lights and shadows
Authors: Moghnie Alessandro , Tigani Domenico , Consoli Alberto , Castiello Emanuela , Ganci Marco , Amendola Luca 
Published: December 2022

Abstract
Purpose
The use of dual mobility cups in total hip arthroplasty has gained popularity in light of the fact it enables to reduce dislocation through increased jumping distance (JD) and impingement-free arc of movement. Modular Dual Mobility Cup (modular DMC) systems have been recently introduced to enable the use of dual mobility cups with standard metal-backed shells. The objective of this study was twofold: calculate the JD for each modular DMC system and conduct a systematic literature review to report clinical outcomes and reasons for failure of this construct.
Methods
The JD was calculated using the Sariali formula: JD = 2Rsin [(π/2 – Ψ – arcsin (offset/R)) / 2]. A qualitative systematic literature review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. A comprehensive search for English and French articles between January 2000 and July 2020 was run on PubMed, EMBASE, Google Scholar, and Scopus with the primary objective of finding articles about modular DMC systems.
Results
We identified eight 8 different manufacturers of modular DMC systems and 327 publications on the subject. After screening for duplicates and eligibility, we identified 229 publications: 206 articles were excluded because they contained no reports on modular DMC systems, whereas other three were not included because they focused on biomechanical aspects. Among the 11 included articles, 2 were prospective case series, 9 were retrospective case series. True dislocation occurred in 25 cases (0.9%) and six of them were solved by closed reduction without necessity of revision, while all 5 intraprosthetic dislocations were operated.
Conclusions
modular DMCs are a valid method to deal with complex THA instability, with good clinical and patient-reported outcomes, low complication rates, and low revision rates at early follow-up. We would advise cautious optimism on the role of modular DMC implants, as it seems safer to use ceramic instead of metallic heads whenever possible to avoid the increase cobalt and chromium trace ion serum levels.
Porous magnetic Silica nanoparticles loaded with sulforaphane mitigate myocardial infarction injury through upregulating HSP70
Authors: Zhang Jian , Dong Yanyan , Liu Xue ,   Hongbo  kinga@126.com Jin, Wang Shuyuan , An Na , Wang Lei 
Published: December 2022

Abstract

Myocardial infarction (MI) is a common cardiovascular disease that induces an extensive sterile inflammation in the early stage, but usually seriously endangers human health. The modulation of cardiac inflammation may improve the outcome of post MI. Unfortunately, due to therapeutic drugs’ side effects and the cardiac coronary artery occlusion, currently MI drugs always can hardly fulfill the myocardial ischemia environment and clinical requirements. Considering the myocardial protective effect and low toxicity of sulforaphane (SFN), SFN was adopted for the treatment of MI. However, it is still difficult for the targeted accumulation of SFN in the infarcted area. Herein, porous magnetic silica nanoparticles (PMSNs) were synthesized and loaded with sulforaphane (SFN) to improve the efficiency by targeted delivery to the infarcted area in MI mice. PMSNs loaded with SFN (PMSNs+SFN) decreased the pro-inflammatory cytokines, thus improving the cardiac functions and cell survival without any adverse effects.
To further explore the mechanism by which SFN treated MI mice, oxygen and glucose deprivation (OGD) cells was established as a cellular model for the in vitro study of MI. Knockdown of HSF1 or Nrf2 decreased SFN-induced HSP70 in the OGD cells. Moreover, knockdown of HSP70 blocked the pro-survival and anti-inflammatory effect of SFN for OGD cells. Moreover, HSP70 overexpression was sufficient to decrease pro-inflammatory cytokines and improve cell survival under OGD.
Taken together, PMSNs transported sufficient SFN to the infarcted area in MI. We demonstrated that SFN exerted cardioprotective effect toward MI injury by up-regulating HSP70 through Nrf2/HSF1.
Identification and validation of a novel prognostic signature based on ferroptosis-related genes in Ovarian Cancer
Authors: Cheng Zhe , Chen Yongheng , Huang Huichao 
Published: December 2022

Abstract
Background
Ovarian cancer (OC) is the most lethal gynecological tumor, which has a poor prognosis due to lack of early symptoms, resistance to chemotherapy, and recurrence. Ferroptosis belongs to regulated cell death family, which is characterized by iron-dependent process and is associated with cancer formation and treatment. Here, comprehensive bioinformatics analysis was applied to explore a valuable prognostic model based on ferroptosis-related genes, which was further validated in clinical OC samples.
Methods
mRNA data of normal and ovarian tumor samples were achieved from GTEx and TCGA databases separately. The ferroptosis genes expression pattern was analyzed and the prognostic clinical information was combined with gene expression data in normal and tumor tissues. Intersectional genes that were both differentially expressed and prognosis-related were found. A gene model based on ferroptosis-associated genes was established and evaluated in the common datasets. Finally, prognostic efficiency of the model was assessed in the clinical tissues of OC patients.
Results
A gene signature consisting of ALOX12, RB1, DNAJB6, STEAP3, and SELENOS was constructed. The signature divided TCGA, ICGC, and GEO cohorts into high-risk and low-risk groups separately, and the overall survival curves in all three cohorts had significant differences. Receiver operating characteristic (ROC) curves and independent prognostic factor analysis were carried out to show the risk model possessing good prognostic function, which was associated with several immune-related pathways. Moreover, protein expression and prognostic value of ALOX12 were validated in clinical samples of OC patients.
Conclusion
This work built and assessed a novel ferroptosis-associated gene model. Further, the clinical predictive role of ALOX12 was identified in OC patients, which suggested that ALOX12 might act as a potential prognostic tool and therapeutic target for OC patients.
Sedation/Agitation Monitoring Using a Wearable Device with a Built-in Accelerometer for Children on Mechanical Ventilation in a Pediatric Intensive Care Unit
Authors: Isaka Kanako , Hatachi Takeshi , Morita Kanako , Takeuchi Muneyuki 
Published: December 2022

Abstract
Purpose
To evaluate the usefulness and feasibility of sedation/agitation monitoring using a wearable device with a built-in accelerometer for children on mechanical ventilation in a pediatric intensive care unit (PICU).
Methods
A prospective observational study was performed in a single PICU in a children’s hospital, including children aged ≤ 15 years admitted to the PICU on mechanical ventilation after cardiac catheterization between December 2021 and April 2022. The wearable device was attached to either the upper limb, and accelerations were measured for two hours after admission or to the time of extubation, whichever earliest. Accelerations were measured at 0.02-s intervals, with the mean acceleration calculated for each 1-min interval. The State Behavioral Scale (SBS) was completed at 1-min intervals, with the SBS score (-1, 0, 1, or 2) compared to the mean acceleration.
Results
The study included 20 children with a median (interquartile range [IQR]) age of 12 (8–24) months. The number of observations for each SBS score was as follows: -1, n = 1, 395; 0, n = 217; 1, n = 95; 2, n = 13. The mean accelerations and SBS scores were positively correlated (Kendall’s tau, 0.22; p < 0.001), with an increase in the median (IQR) acceleration from an SBS score of -1 through 2, as follows: SBS − 1, 0.200 (0.151–0.232) m/s2; SBS 0, 0.202 (0.190–0.235) m/s2; SBS, 1, 0.312 (0.236–0.427) m/s2; SBS 2, 0.455 (0.332–0.517) m/s2. No adverse events or complications were observed.
Conclusion
Continuous, objective sedation/agitation monitoring of children on mechanical ventilation was feasible using a wearable accelerometry device.
Trial registration:
This study was registered in the University Hospital Medical Information Network Clinical Trials Registry (UMIN000046203; December 1, 2021). https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000052488
Granulocyte colony-stimulating factor priming improves embryos and pregnancy rate in patients with poor ovarian reserve: a randomized controlled trial
Authors: Jinno Masao , Tamaoka Yukoku , Teruya Koji , Watanabe Aiko , Hatakeyama Naohisa , Goda Tomoya , Kimata Hayato , Jinno Yuichi 
Published: December 2022

Abstract

Background
Granulocyte colony-stimulating factor (G-CSF) administration increased ovarian preantral follicles and anti-Müllerian hormone (AMH) in animal models with diminished ovarian reserve. We investigated whether G-CSF priming before treatment with assisted reproductive technology (ART) improved embryo development and pregnancy rate while increasing serum AMH in patients with poor ovarian reserve.
Methods
In this prospective randomized open-label controlled trial, 100 patients 20 to 42 years old with AMH below 2 ng/mL were randomized to priming or control groups (50 patients each). None had over 1 ART failure, day-3 follicle-stimulating hormone (FSH) above 30 IU/L, uterine anomalies, or a partner with azoospermia. All patients initially underwent conventional infertility treatment for 2 consecutive cycles in which the priming group but not controls received a subcutaneous G-CSF priming injection during the early luteal phase. Each group then underwent 1 cycle of in vitro fertilization/intracytoplasmic sperm injection and fresh embryo transfer (IVF/ICSI-fresh ET), followed by cryopreserved ET if needed until live birth or embryo depletion. AMH was measured before and after priming.
Results
Fertilization rate, embryonic development, and implantation rate by fresh ET were significantly improved by priming. Clinical and ongoing pregnancy rates by IVF/ICSI-fresh ET were significantly higher with priming (30% and 26% in 47 ART patients; 3 delivered with conventional treatment) than in controls (12% and 10% in 49 ART patients; 1 dropped out). With priming, significantly more patients achieved cryopreservation of redundant blastocysts. The cumulative live birth rate was 32% in 50 patients with priming, significantly higher than 14% in 49 controls (relative risk, 2.8; 95% confidence interval, 1.04–7.7). Infants derived from priming had no congenital anomalies, while infant weights, birth weeks, and Apgar scores were similar between groups. Among 4 variables (age, day-3 FSH, AMH, and priming), logistic regression significantly associated age and priming with cumulative live birth. Priming significantly increased serum AMH. No adverse effects of priming were observed.
Conclusion
G-CSF priming improved embryonic development and pregnancy rate during ART treatment and increased AMH in patients with poor ovarian reserve. Enhanced preantral follicle growth likely was responsible.
Trial registration:
UMIN registration in Japan (UMIN000013956) on May 14, 2014. https://www.umin.ac.jp/ctr/index.htm
Public perceptions of climate change and health – A cross-sectional survey study
Authors: Baal Katharina van , Stiel Stephanie , Schulte Peter 
Published: December 2022

Abstract
Background
Climate change is inseparably linked to human health and has a direct impact on morbidity and mortality. Increasing temperatures, extreme weather events, air pollution and altered vector transmissions are leading to cardiovascular, respiratory and infectious diseases. Although there is growing awareness of the threats to human health caused by climate change, it remains unclear how the German population perceives the relevance of climate change and its health consequences.
Methods
Between May and September 2022, German residents were invited to participate in a cross-sectional online survey. In addition to collecting demographic data, the survey explored three content areas: (1) the relevance of climate change, (2) health risks in connection with climate change and (3) collective and individual options for action against climate change. Data were analysed descriptively.
Results
Over the 20-week survey period, 697 full data sets were collected for analysis (72% female, 51% ≥55 years old). The majority of participants agreed that human-induced climate change (likely) exists (85%), and that it has an impact on human health (83%). They also perceived the global population to be more strongly impacted by climate change than the German population (89% versus 74%). Most (68%) participants saw themselves affected by climate change, and approximately one in five respondents (18%) reported negative health experiences due to climate change. Accidents/deaths due to extreme weather events were perceived as the most relevant health risk in connection with climate change (62%). The majority (76%) of participants claimed to personally contribute to climate protection and 23% felt that their city or council contributed to climate protection.
Conclusion
Although the majority of participants saw climate change as a threat to human health, they perceived other population groups (i.e. outside of Germany) to be most strongly affected. Cognitive dissonance might explain this lack of individual concern. One approach to addressing such distorted perceptions might be the dissemination of appropriate risk communication highlighting existing health threats due to climate change, with health professionals involved in the communication. Cities and councils should play a more active role in promoting climate protection and make their actions visible to the public.
Predicting Purchase Intention Using Twitter Data
Authors: Imran Hasan , Zaidi Syed Zain , Khan Nida Sadaf , Uddin Nasir 
Published: December 2022

Abstract
Recently, there has been a significant rise in the ecommerce industry with the pandemic entailing lockdowns. More and more people have started posting online about the products they want to buy or asking whether they should buy the product or not. There has been a great deal of research going on in trying to figure out the buying patterns of a user and more importantly the factors which determine whether the user will buy the product or not. One such platform is Twitter which has become quite popular in recent years. This study explores the problem of identifying and predicting the purchase intention of a user for a product. Employment of various text analysis models to tweets data reveals we can predict if a user has shown purchase intention towards a product or not. While there are lexicon and Machine learning based approaches to handle this task, our deep learning approach is a new take on purchase intention prediction from social media data. An accuracy of 85.7% was achieved by our model, applying the LSTM Neural Net with data in the Global Vectors (GloVE) embeddings format.
Prediction of morbidity and mortality after early cholecystectomy for acute calculous cholecystitis: results of the S.P.Ri.M.A.C.C. study
Authors: Fugazzola Paola , Cobianchi Lorenzo , Martino Marcello Di , Tomasoni Matteo , Mas Francesca Dal , Abu-Zidan Fikri M , Agnoletti Vanni , Ceresoli Marco , Coccolini Federico , Saverio Salomone Di , Dominioni Tommaso , Farè Camilla Nikita , Frassini Simone , Gambini Giulia , Leppäniemi Ari , Maestri Marcello , Martín-Pérez Elena , Moore Ernest E. , Musella Valeria , Peitzman Andrew B. , Rodríguez Ángela de la Hoz , Sargenti Benedetta , Sartelli Massimo , Viganò Jacopo , Anderloni Andrea , Biffl Walter , Catena Fausto , Ansaloni Luca , Group S.P.Ri.M.A.C.C. Collaborative 
Published: December 2022

Abstract
Background:

Less invasive alternatives than Early Cholecystectomy (EC) for Acute Calculous Cholecystitis (ACC) treatment have been spreading in recent years. We still lack a reliable tool to select high-risk patients who could benefit from these alternatives. Our study aimed to prospectively validate the Chole-Risk score in predicting postoperative complications in patients undergoing EC for ACC compared with other pre-operative risk prediction models.

Method:

The S.P.Ri.M.A.C.C. study is a World Society of Emergency Surgery (WSES) prospective multicenter observational study. From 1st September 2021 to 1st September 2022, 1253 consecutive patients admitted in 79 centers were included. The inclusion criteria were a diagnosis of ACC and to be a candidate for EC. A Cochran-Armitage test of the trend was run to determine whether a linear correlation existed between the Chole-risk score and a complicated postoperative course. To assess the accuracy of the analyzed prediction models - POSSUM Physiological Score (PS), modified Frailty Index, Charlson Comorbidity Index, American Society of Anesthesiologist score (ASA), APACHE II score, ACC severity grade - receiver operating characteristic (ROC) curves were generated. The area under the ROC curve (AUC) was used to compare the diagnostic abilities.

Results:

A 30-day major morbidity of 6.6% and 30-day-mortality of 1.1% were found. Chole-risk was validated, but POSSUM PS was the best risk prediction model for a complicated course after EC for ACC (in-hospital mortality: AUC 0.94, p < 0,001; 30day-mortality: AUC 0.94, p < 0.001; in-hospital major morbidity: AUC 0.73, p < 0.001; 30day-major morbidity: AUC 0.70, p < 0.001). POSSUM PS with a cut-off of 25 (defined in our study as a ‘Chole-POSSUM’ score) was then validated in a separate cohort of patients. It showed a 100% sensitivity and a 100% negative predictive value for mortality and a 96–97% negative predictive value for major complications.

Conclusions:

The Chole-risk score was externally validated, but the CHOLE-POSSUM stands as a more accurate prediction model. CHOLE-POSSUM is a reliable tool to stratify patients with ACC into a low-risk group, that may represent a safe EC candidate, and a high-risk group, where new minimally invasive endoscopic techniques may find the most useful field of action.
Trial Registration: ClinicalTrial.gov NCT04995380