bluuebunny/crossref_metadata_2025_split huggingface dataset:
Parabolic relationship between SMAD3 expression level and the reprogramming efficiency of goat induced mammary epithelial cells
Authors: Wu Yulian , Zhang Dandan , Ye Sheng , Liu Quanhui , Huang Ben 
Published: October 2022

Mammary epithelial cells are the only cells of mammary glands with lactation capacity. They are closely related to mammary development and milk yield. Our earlier studies showed that the transformation of goat fibroblasts into induced mammary epithelial cells (iMECs) was closely correlated with SMAD3 overexpression. Therefore, we further explored the role of SMAD3 on iMECs reprogramming in this study. The SMAD3 gene was overexpressed in goat ear fibroblasts using the tetracycline-induced expression method. The outcomes demonstrated that goat ear fibroblasts can be converted into iMECs by overexpressing the SMAD3 gene. In contrast, it was discovered that SMAD3 downregulation by RNA interference significantly decrease the reprogramming efficiency of iMECs. These results show that SMAD3 plays a key regulatory role in the reprogramming of iMECs. Surprisingly, we also found a parabolic relationship between SMAD3 expression level and iMECs reprogramming efficiency, and that the reprogramming efficiency was maximum when the addition of doxycycline concentration was 5 μg/ml. In light of this, our findings may offer new perspectives on the regulatory mechanism governing mammary epithelial cell fate in goats as well as a fresh approach to studying mammary development and differentiation in vitro.
Mixed oxides from calcined layered double hydroxides for glycerol carbonate production to contribute to the biodiesel economy
Authors: Dalma Argüello , Nancy Bálsamo , Griselda Eimer , Mónica Crivello 
Published: October 2022

The glycerol generated as a by-product in the production of biodiesel could be used as a renewable raw material to economically promote the production process. The catalytic conversion of glycerol to a product with higher added value, such as glycerol carbonate, has attracted great interest in the chemical, pharmaceutical, and lithium battery industries, among others, due to its low toxicity, hydration capacity, and biodegradability. Layered-double hydroxide (LDH) materials, the precursors of the catalysts, were synthesized by a direct coprecipitation method to incorporate a third metal ion in addition to magnesium and aluminum ions. This method is the easiest regularly applied technique to design these low cost anionic nanoclay. The atomic percentage of Cu, Zn, or Ni incorporated was 15% of the Mg load in the material. The synthesis atomic ratio, (M2++Mg2+)/Al3+ had a constant value of 3, where M represents the transition metal incorporated. LDHs produced the corresponding mixed metal oxides by thermal decomposition. These materials have excellent properties for reactions catalyzed by the basic sites, high surface area, homogeneous cation dispersion, and thermal stability. The physicochemical material properties were characterized by XRD, N2 sorption, MP-AES, TPD-CO2, SEM, and XPS. The mixed oxides were evaluated in the catalytic conversion of glycerol to glycerol carbonate. The addition of Cu, Ni, or Zn to the matrix of Mg and Al produced changes in its physicochemical properties and mostly in the catalytic activity. X-ray diffractograms of LDHs showed the typical characteristic structure of layers even with metallic ions of Cu, Ni, or Zn incorporated, because their ionic radii are similar to that of the Mg ion, 0.69, 0.73, and 0.74 Å, respectively. The obtained mixed oxides showed a high catalytic activity towards the conversion of glycerol to glycerol carbonate under mild reaction conditions, a 1:2 ratio of glycerol:ethylene carbonate and solvent free. Relative yields higher than 80% were obtained, attributable to an adequate distribution of basicity and textural parameters. The catalysts were used in successive reaction cycles without significant loss of activity.
Artificial intelligence-assisted remote detection of ST-elevation myocardial infarction using a mini-12-lead electrocardiogram device in prehospital ambulance care
Authors: Chen Ke-Wei , Wang Yu-Chen , Liu Meng-Hsuan , Tsai Being-Yuah , Wu Mei-Yao , Hsieh Po-Hsin , Wei Jung-Ting , Shih Edward S. C. , Shiao Yi-Tzone , Hwang Ming-Jing , Wu Ya-Lun , Hsu Kai-Cheng , Chang Kuan-Cheng 
Published: October 2022

ObjectiveTo implement an all-day online artificial intelligence (AI)-assisted detection of ST-elevation myocardial infarction (STEMI) by prehospital 12-lead electrocardiograms (ECGs) to facilitate patient triage for timely reperfusion therapy.MethodsThe proposed AI model combines a convolutional neural network and long short-term memory (CNN-LSTM) to predict STEMI on prehospital 12-lead ECGs obtained from mini-12-lead ECG devices equipped in ambulance vehicles in Central Taiwan. Emergency medical technicians (EMTs) from the 14 AI-implemented fire stations performed the on-site 12-lead ECG examinations using the mini portable device. The 12-lead ECG signals were transmitted to the AI center of China Medical University Hospital to classify the recordings as “STEMI” or “Not STEMI”. In 11 non-AI fire stations, the ECG data were transmitted to a secure network and read by available on-line emergency physicians. The response time was defined as the time interval between the ECG transmission and ECG interpretation feedback.ResultsBetween July 17, 2021, and March 26, 2022, the AI model classified 362 prehospital 12-lead ECGs obtained from 275 consecutive patients who had called the 119 dispatch centers of fire stations in Central Taiwan for symptoms of chest pain or shortness of breath. The AI's response time to the EMTs in ambulance vehicles was 37.2 ± 11.3 s, which was shorter than the online physicians' response time from 11 other fire stations with no AI implementation (113.2 ± 369.4 s, P &lt; 0.001) after analyzing another set of 335 prehospital 12-lead ECGs. The evaluation metrics including accuracy, precision, specificity, recall, area under the receiver operating characteristic curve, and F1 score to assess the overall AI performance in the remote detection of STEMI were 0.992, 0.889, 0.994, 0.941, 0.997, and 0.914, respectively. During the study period, the AI model promptly identified 10 STEMI patients who underwent primary percutaneous coronary intervention (PPCI) with a median contact-to-door time of 18.5 (IQR: 16–20.8) minutes.ConclusionImplementation of an all-day real-time AI-assisted remote detection of STEMI on prehospital 12-lead ECGs in the field is feasible with a high diagnostic accuracy rate. This approach may help minimize preventable delays in contact-to-treatment times for STEMI patients who require PPCI.
Disparities in cardiovascular disease prevalence among middle-aged and older adults: Roles of socioeconomic position, social connection, and behavioral and physiological risk factors
Authors: Zhang Ji , Fang Yian , Yao Yao , Zhao Yang , Yue Dahai , Sung Meekang , Jin Yinzi , Zheng Zhi-Jie 
Published: October 2022

IntroductionCardiovascular disease (CVD) remains the leading cause of premature death globally and a major contributor to decreasing quality of life. In the present study, we investigated the contribution of social, behavioral, and physiological determinants of CVD and their different patterns among middle-aged and older adults.MethodsWe used harmonized data from 6 nationally representative individual-level longitudinal studies across 25 countries. We restricted the age to ≥50 years and defined cases as a self-reported history of CVD. The exposure variables were the demographic status (age and sex), socioeconomic position (education level, employment, and household income level), social connections (marital status and family size), behavioral factors (smoking, alcohol drinking, and frequency of moderate to vigorous physical activity), and physiological risk factors (obesity, presence of hypertension, and presence of diabetes). Mixed logistic regression models were fitted to investigate the associations, and dominance analysis was conducted to examine the relative contributions.ResultsIn total, 413,203 observations were included in the final analysis, with the CVD prevalence ranging from 10.4% in Mexico to 28.8% in the United States. Physiological risk factors were the main driver of CVD prevalence with the highest dominance proportion, which was higher in developing countries (China, 57.5%; Mexico, 72.8%) than in developed regions (United States, England, 10 European countries, and South Korea). Socioeconomic position and behavioral factors also highly contributed but were less significant in developing countries than in developed regions. The relative contribution of socioeconomic position ranged from 9.4% in Mexico to 23.4% in the United States, and that of behavioral factors ranged from 5.7% in Mexico to 26.1% in England.ConclusionThe present study demonstrated the different patterns of determinant contributions to CVD prevalence across developing and developed countries. With the challenges produced by different risk factors, the implementation of tailored prevention and control strategies will likely narrow disparities in the CVD prevalence by promoting health management and enhancing the capacity of health systems across different countries.
Systematic total arch replacement with thoraflex hybrid graft in acute type A aortic dissection: A single centre experience
Authors: Chivasso Pierpaolo , Mastrogiovanni Generoso , Bruno Vito Domenico , Miele Mario , Colombino Mario , Triggiani Donato , Cafarelli Francesco , Leone Rocco , Rosapepe Felice , De Martino Matteo , Morena Elvira , Iesu Ivana , Citro Rodolfo , Masiello Paolo , Iesu Severino 
Published: October 2022

IntroductionIn the last two decades, a more aggressive approach has been encouraged to treat patients with acute type A aortic dissection (ATAAD), extending the repair to the aortic arch and proximal descending thoracic aorta with the frozen elephant trunk (FET) implantation. Here, we report our single-centre experience with the FET technique for the systematic treatment of emergency type A aortic dissection.Materials and methodsBetween December 2017 and January 2022, 69 consecutive patients were admitted with ATAAD; of those, 66 patients (62.9 ± 10.2 years of age, 81.8% men) underwent emergency hybrid aortic arch and FET repair with the multibranched Thoraflex hybrid graft and were enrolled in the study. Primary endpoints were 30 days- and in-hospital mortality. Secondary endpoints were postoperative morbidity and follow-up survival. To better clarify the impact of age on surgical outcomes, we have divided the study population into two groups: group A for patients &lt;70 years of age (47 patients), and group B for patients ≥70 years (19 patients). Time-to-event analysis has been conducted using the Log-rank test and is displayed with Kaplan-Meier curves. A multiple Cox proportional Hazard model was developed to identify predictors of long-term survival with a stepwise backward/forward selection process.Results30-days- and in-hospital mortality were 10.6 and 13.6%, respectively. Stroke occurred in three (4.5%) patients. Two (3.0%) patients experienced spinal cord ischemia. We did not find any statistically significant difference between the two groups in terms of main post-operative outcomes. The multivariable Cox proportional hazard model showed left ventricular ejection fraction (HR: 0.83, 95% CI: 0.79–0.92, p &lt; 0.01), peripheral vascular disease (HR: 15.8, 95% CI: 3.9–62.9, p &lt; 0.01), coronary malperfusion (HR: 0.10, 95% CI: 0.01–0.77, p =0.03), lower limbs malperfusion (HR: 5.1, 95% CI: 1.10–23.4, p = 0.04), and cardiopulmonary bypass time (HR: 1.02, 95% CI: 1–1.04, p = 0.01) as independent predictors of long term mortality.ConclusionsFrozen elephant trunk repair to treat emergency type A aortic dissection appears to be associated with good early and mid-term clinical outcomes even in the elderly.
ArcticBeach v1.0: A physics-based parameterization of pan-Arctic coastline erosion
Authors: Rolph Rebecca , Overduin Pier Paul , Ravens Thomas , Lantuit Hugues , Langer Moritz 
Published: October 2022

In the Arctic, air temperatures are increasing and sea ice is declining, resulting in larger waves and a longer open water season, all of which intensify the thaw and erosion of ice-rich coasts. Climate change has been shown to increase the rate of Arctic coastal erosion, causing problems for Arctic cultural heritage, existing industrial, military, and civil infrastructure, as well as changes in nearshore biogeochemistry. Numerical models that reproduce historical and project future Arctic erosion rates are necessary to understand how further climate change will affect these problems, and no such model yet exists to simulate the physics of erosion on a pan-Arctic scale. We have coupled a bathystrophic storm surge model to a simplified physical erosion model of a permafrost coastline. This Arctic erosion model, called ArcticBeach v1.0, is a first step toward a physical parameterization of Arctic shoreline erosion for larger-scale models. It is forced by wind speed and direction, wave period and height, sea surface temperature, all of which are masked during times of sea ice cover near the coastline. Model tuning requires observed historical retreat rates (at least one value), as well as rough nearshore bathymetry. These parameters are already available on a pan-Arctic scale. The model is validated at three study sites at 1) Drew Point (DP), Alaska, 2) Mamontovy Khayata (MK), Siberia, and 3) Veslebogen Cliffs, Svalbard. Simulated cumulative retreat rates for DP and MK respectively (169 and 170 m) over the time periods studied at each site (2007–2016, and 1995–2018) are found to the same order of magnitude as observed cumulative retreat (172 and 120 m). The rocky Veslebogen cliffs have small observed cumulative retreat rates (0.05 m over 2014–2016), and our model was also able to reproduce this same order of magnitude of retreat (0.08 m). Given the large differences in geomorphology between the study sites, this study provides a proof-of-concept that ArcticBeach v1.0 can be applied on very different permafrost coastlines. ArcticBeach v1.0 provides a promising starting point to project retreat of Arctic shorelines, or to evaluate historical retreat in places that have had few observations.
A micro- and macro-scale look at the biochemical methanogenic potential of the organic fraction of municipal solid waste generated in a large city of a developing country
Authors: Ibarra-Esparza Fernanda E. , Verduzco Garibay Marycarmen , Lara-Topete Gary Ossmar , González-López Martín Esteban , Orozco-Nunnelly Danielle A. , Aguilar-Juárez Oscar , Senés-Guerrero Carolina , Gradilla-Hernández Misael Sebastián 
Published: October 2022

The management of municipal solid waste (MSW) is a complex and expensive task. This is especially the case in developing countries, where waste generation rates are continuously increasing and where current MSW management strategies are focused on inadequate practices, such as landfilling and incineration, which result in numerous health and environmental problems. The anaerobic digestion (AD) of MSW has been implemented worldwide as a solution to decrease the amount of waste ending up in landfills. This process allows for the recovery of energy from the organic fraction of MSW (OFMSW) in the form of biogas, which is largely composed of methane. Therefore, the goal of the present study was to evaluate the biochemical methane potential (BMP) of the OFMSW generated within different socioeconomic strata of the Metropolitan Area of Guadalajara (MAG), Mexico. From a microscale perspective, the microbial communities within the experimental AD system were analyzed using high-throughput sequencing of the 16S rRNA gene to assess the relationship between these communities and the biogas composition. This microbial identification revealed a typical AD composition consisting of the following six phyla: Actinobacteria, Bacteroidetes, Chloroflexi, Euryarchaeota, Firmicutes, and Proteobacteria. Furthermore, through the identification of Methanobacterium and Methanosaeta, two methanogenesis pathways (hydrogenotrophic and acetoclastic) were pinpointed. From a macroscale perspective, a multi-stage Gompertz kinetic model was used to describe cumulative biogas production. This model considered the complex nature of the OFMSW substrate in order to estimate the potential level of biogas production in the MAG using a weighted average that was based on the size of the population in each socioeconomic stratum evaluated (732.8 mL⋅g−1 VS). This novel contribution to the literature provides an estimation of the potential economic, energetic, and environmental benefits of treating the OFMSW produced in the MAG through AD. Through this approach, an estimated 8.5 MWh·year−1 of electrical power could be produced, translating into 1.13 million USD of yearly revenue and resulting in reduced GHG emissions (10,519 tonne CO2eq⋅year−1).
Characteristics and influencing factors of metal distribution in different wetlands of the Liaohe Delta, Northeastern China
Authors: Yu Yang , Zhang Jiapeng , Qin Jifa , Yang Jisong , Wang Zhikang , Song Ningning , Yu Junbao 
Published: October 2022

Metal distribution in different wetlands under the complex influence of natural and anthropogenic activities in the Liaohe Delta was analyzed to better protect and manage delta areas. Ninety-six soil samples were collected from six wetland types, and the levels, depth distributions, risk, and influencing factors of metals (i.e., As, Cd, Cr, Ni, Cu, Pb, Zn, Mn, Al, and Fe) were analyzed. The results showed that the concentrations of As, Cd, Cr, Ni, Zn, and Al in more than 70% of the soil samples were higher than the background value of Liaoning Province. The concentration of As decreased with distance from the estuary, while that of Cr was higher downstream of Liaohe. The spatial distributions of Cd, Ni, Cu, Pb, and Zn were similar. The concentrations of most metals in the topsoil were higher than those in the subsoil. According to the Nemerow pollution index, higher pollution was observed in the area far away from the Liaohe River and Bohai Sea for the topsoil layer, while for the subsoil layers, higher pollution was observed in the area near the Liaohe estuary. The correlation analysis showed that the wetland type was clearly correlated with Cd, Cu, Al, and S. The concentrations of Cd, Pb, Zn, C, N, P, and S and the electrical conductivity obviously decreased with soil depth, while the concentration of Mn was positively correlated with soil depth. Mn was negatively correlated with total organic carbon (TOC), total nitrogen (TN), and total phosphorus (TP), whereas Cd, Pb, and Zn showed positive correlation with TOC, TN, and total sulfur (TS). The general linear model indicated that wetland type had a significant effect on As, Cd, Ni, Cu, Pb, Zn, Al, and Fe (p&lt; 0.01), while depth had a significant effect on Cd, Cr, and Pb (p&lt; 0.01). The findings of this work will contribute to pollution control and ecosystem health conservation of the Liaohe Delta.
Predictive factors associated with the persistence of chest pain in post-laparoscopic myotomy and fundoplication in patients with achalasia
Authors: Olvera-Prado Héctor , Peralta-Figueroa José , Narváez-Chávez Sofía , Rendón-Macías Mario E. , Perez-Ortiz Andric , Furuzawa-Carballeda Janette , Méndez-Flores Silvia , Núñez-Pompa María del Carmen , Trigos-Díaz Alonso , Areán-Sanz Rodrigo , López-Verdugo Fidel , Coss-Adame Enrique , Valdovinos Miguel A. , Torres-Villalobos Gonzalo 
Published: October 2022

BackgroundEpisodic angina-like retrosternal pain is a prevalent symptom for achalasia patients pre- and post-treatment. The cause of postoperative chest pain remains poorly understood. Moreover, there are no reports on their predictive value for chest pain in the long-term post-treatment. The effect of laparoscopic Heller myotomy (LHM) and fundoplication techniques (Dor vs. Toupet) is unclear.MethodsWe analyzed a cohort of 129 achalasia cases treated with LHM and randomly assigned fundoplication technique. All the patients were diagnosed with achalasia by high-resolution manometry (HRM). Patients were followed up at 1-, 6-, 12-, and 24-month post-treatment. We implemented unadjusted and adjusted logistic regression analyses to evaluate the predictive significance of pre- and post-operative clinical factors.ResultsPreoperative chest pain with every meal was associated with an increased risk of occasional postoperative chest pain [unadjusted model: odds ratio (OR) = 12, 95% CI: 2.2–63.9, P = 0.006; adjusted model: OR = 26, 95% CI: 2.6–259.1, P = 0.005]. In type II achalasia, hypercontraction was also associated with an increased risk of chest pain (unadjusted model: OR = 2.6 e9 in all the patients). No significant differences were associated with age, type of achalasia, dysphagia, esophageal shape, and integrated relaxation pressure (IRP) with an increased risk of occasional postoperative chest pain. Also, there was no significant difference between fundoplication techniques or surgical approaches (e.g., length of myotomy).ConclusionPreoperative chest pain with every meal was associated with a higher risk of occasionally postoperative chest pain.
Ideal patients for liver resection in Barcelona Clinic Liver Cancer or Hong Kong Liver clinic systems for hepatocellular carcinoma: Conservative or aggressive?
Authors: Li Jun-Xiang , Zhou Peng , Chang De-Hua , Tong Yao , Bao Yan , Xiao Yu-Dong , Zhou Shi , Cai Wen-Wu 
Published: October 2022

BackgroundBoth the Barcelona Clinic Liver Cancer (BCLC) staging and the Hong Kong Liver Cancer (HKLC) staging have their own definitions of ideal patients for liver resection (IPLR) in hepatocellular carcinoma (HCC). This study aimed to compare the prognosis of IPLRs between the BCLC and HKLC staging systems, and to identify patients who may benefit from liver resection (LR) in the HKLC staging but beyond the BCLC staging.MethodsThis retrospective study evaluated 1,296 consecutive patients with HCC who underwent LR between August 2013 and April 2021 (457 patients and 1,046 patients were IPLR according to the BCLC and HKLC staging systems, respectively). Overall survival (OS) was compared between the two groups. To assess potential benefit of LR for IPLR in the HKLC staging but beyond the BCLC staging, univariate and multivariate Cox regression analysis was performed to determine prognostic factors of OS, and prognostic stratification was performed based on the selected prognostic factors. The IPLRs in the HKLC staging but beyond the BCLC staging were divided into subgroups according to the prognostic stratification and separately compared with the IPLRs in the BCLC staging.ResultsOS was different between the two staging systems (P = 0.011). All the 457 IPLRs in the BCLC staging were also the IPLRs in the HKLC staging. Diameter of the largest tumor5 cm (HR = 1.58; 95% CI: 1.18–2.10; P = 0.002) and liver cirrhosis (HR = 1.61; 95% CI: 1.19–2.20; P = 0.002) were risk factors for poor OS in IPLRs in the HKLC staging but beyond the BCLC staging; hence, patients were divided into the low-risk (n = 104), intermediate-risk (n = 369), and high-risk groups (n = 116) accordingly. There was no difference in OS between patients in the BCLC staging and patients in low-risk group (P = 0.996). However, OS was significantly different between patients in the BCLC staging and those in intermediate-risk (P = 0.003) and high-risk groups (P &lt; 0.001).ConclusionIPLRs in the BCLC staging system have better prognosis. However, IPLRs in the HKLC staging system but beyond the BCLC staging may have equivalent prognosis to IPLRs in the BCLC staging if the tumor size is ≤ 5 cm and liver cirrhosis is absent.