Effect of consuming ground beef of differing monounsaturated fatty acid content on atherosclerotic cardiovascular disease risk factors in healthy men

Atherosclerotic cardiovascular disease (ASCVD) is currently the most common cause of death in the United States. Some dietary factors contribute importantly to ASCVD and other factors can reduce risk of ASCVD. Oleic acid is a monounsaturated fatty acid (MUFA). Dietary patterns in which oleic acid contributes to a majority of dietary fatty acids are associated with reduced ASCVD risk. These beneficial effects are due to MUFA-induced lipoprotein profile changes such as decreases in low density lipoprotein (LDL) and increases in high density lipoprotein (HDL). LDL oxidation plays a central role in atherosclerosis development as it both initiates and propagates atherosclerosis. HDL is anti-atherogenic as it can attenuate LDL oxidation. HDLs are a class of diverse lipoprotein that varies in protein and enzymatic composition. The paraoxonase (PON) family of enzymes, especially PON1, is primarily expressed in the liver; PON activity in the circulatory system is associated with HDL. Both PON and HDL have been documented to be anti-atherogenic. Other factors such as homocysteine and C-reactive protein (CRP) can also be considered risk factors for ASCVD. However, studies of risk factors in healthy men who consume ground beef with a different content of MUFA are lacking; hence, no conclusive evidence has established whether consuming a high amount of MUFA in the form of ground beef alters the development of atherosclerosis. The overall purpose of this study was to investigate whether the provision of ground beef with a fractionally higher MUFA content could lower or improve several ASCVD risk factors in men who consume ground beef. These risk factors include the metabolic indices of glucose, insulin and homeostasis model assessment (HOMA), inflammation risk factors of CRP and homocysteine and anti-risk factor of paraoxonase. The concentration of homocysteine was determined spectrophotometrically following separation by high pressure liquid chromatography (HPLC). Enzyme-linked imminosorbent assay kits that measured the CRP and insulin concentration in plasma. The significance of the results was determined by subjecting the data to ANOVA using the general linear model for repeated measurement (P<0.05). From this study, it can be concluded that MUFA has a beneficial effect of lowering risks as determined by metabolic indices and lipoprotein profile. Moreover, our study showed that different concentrations of MUFA in ground beef has no effect on PON1 activity, but that increased beef consumption generally reduces PON1 in association with increases in homocysteine concentration while improving indicators of glucose tolerance

Effect of consuming ground beef of differing monounsaturated fatty acid content on atherosclerotic cardiovascular disease risk factors in healthy men

Atherosclerotic cardiovascular disease (ASCVD) is currently the most common cause of death in the United States. Some dietary factors contribute importantly to ASCVD and other factors can reduce risk of ASCVD. Oleic acid is a monounsaturated fatty acid (MUFA). Dietary patterns in which oleic acid contributes to a majority of dietary fatty acids are associated with reduced ASCVD risk. These beneficial effects are due to MUFA-induced lipoprotein profile changes such as decreases in low density lipoprotein (LDL) and increases in high density lipoprotein (HDL). LDL oxidation plays a central role in atherosclerosis development as it both initiates and propagates atherosclerosis. HDL is anti-atherogenic as it can attenuate LDL oxidation. HDLs are a class of diverse lipoprotein that varies in protein and enzymatic composition. The paraoxonase (PON) family of enzymes, especially PON1, is primarily expressed in the liver; PON activity in the circulatory system is associated with HDL. Both PON and HDL have been documented to be anti-atherogenic. Other factors such as homocysteine and C-reactive protein (CRP) can also be considered risk factors for ASCVD. However, studies of risk factors in healthy men who consume ground beef with a different content of MUFA are lacking; hence, no conclusive evidence has established whether consuming a high amount of MUFA in the form of ground beef alters the development of atherosclerosis. The overall purpose of this study was to investigate whether the provision of ground beef with a fractionally higher MUFA content could lower or improve several ASCVD risk factors in men who consume ground beef. These risk factors include the metabolic indices of glucose, insulin and homeostasis model assessment (HOMA), inflammation risk factors of CRP and homocysteine and anti-risk factor of paraoxonase. The concentration of homocysteine was determined spectrophotometrically following separation by high pressure liquid chromatography (HPLC). Enzyme-linked imminosorbent assay kits that measured the CRP and insulin concentration in plasma. The significance of the results was determined by subjecting the data to ANOVA using the general linear model for repeated measurement (P<0.05). From this study, it can be concluded that MUFA has a beneficial effect of lowering risks as determined by metabolic indices and lipoprotein profile. Moreover, our study showed that different concentrations of MUFA in ground beef has no effect on PON1 activity, but that increased beef consumption generally reduces PON1 in association with increases in homocysteine concentration while improving indicators of glucose tolerance

Modelling the Passenger Choice Behaviour of Buying High-Speed Railway Tickets

Passenger choice behaviour of buying tickets has a great impact on the high-speed rail (HSR) revenue management. It is very critical to find out the sensitive factors that prevent passengers with high willingness to pay for a ticket from buying low-price tickets. The literature on passenger choice behaviour mainly focuses on travel mode choice, choice between a conventional train and a high-speed train and choice among high-speed trains. To extend the literature and serve revenue management, this paper investigates passenger choice behaviour of buying high-speed railway tickets. The data were collected by the stated preference (SP) survey based on Beijing-Hohhot high-speed railway. The conditional logit model was established to analyse influencing factors for business travel and non-business travel. The results show that: business passengers have the higher inherent preference for full-price tickets, while non-business passengers have the higher inherent preference for discount tickets; the number of days booked in advance and frequent passenger points have a significant impact on the ticket choice of business travellers, but not on non-business travellers; passengers are unwilling to buy tickets that depart after 16:00 for non-business travel; factors have different effects on the passengers\u27 choice in business travel and non-business travel. The results can provide parameters for revenue management models and references for the ticket-product design

COMPARATIVE HISTOLOGICAL ANALYSIS OF INTESTINES OF LOACH, GRASS CARP AND CATFISH PROVIDE INSIGHTS INTO ADAPTIVE CHARACTERISTICS IN AIR-BREATHING FISH

Općenito je prihvaćeno da su pomoćni dišni organi riba u više navrata samostalno evoluirali pri prilagođavanju slatkovodnim staništima i vodenoj hipoksiji. Vjeruje se da je organ za udisanje zraka kod riba strukturno modificiran kako bi nadopunio respiraciju. U ovom istraživanju prezentirani su intuitivni dokazi detaljne strukturne modifikacije crijeva i organa za udisanje zraka kod muljnog vijuna (Misgurnus anguillicaudatus), uspoređujući ih amurom (Ctenopharyngodon idellus) i žutim somom (Pelteobagrus fulvidraco). izravno dobiveni histološkom i morfometrijskom metodom. Kod muljnog vijuna očitovala se naglo smanjena visina nabora sluznice i debljina mišićnog sloja od prednjeg do stražnjeg dijela crijeva. U usporedbi sa amurom i žutim somom, vijun je imao i najmanji omjer visine nabora sluznice/debljine mišićnog sloja i polumjera crijeva u stražnjem dijelu crijevu. To sugerira da je moguće stražnji dio crijeva lokacija na kojoj vijun udiše zrak. Nadalje, gustoća kapilara (0,46 ± 0,05 μm-2) u zadnjem crijevu vijuna bila je značajno viša od amura i žutog soma. Također, difuzijska udaljenost zračno-krvne barijere (1,34 ± 0,04 μm) u stražnjem crijevu vijuna bila je značajno manja od one u druge dvije vrste riba. Ukratko, karakteristike poput visoke prokrvljenosti, kratke udaljenosti difuzije zračno-krvne barijere, prorijeđenosti i spljoštenosti, učinile su stražnji dio crijeva savršenom lokacijom za udisanje zraka istraživane vrste vijuna.Accessory respiratory is generally accepted to have evolved independently on numerous occasions in adaption to aquatic hypoxia in freshwater habitats. In general, the air-breathing organ in fish is believed to be structurally modified to supplement respiration. In this study, intuitive evidence for elaborate structural modifications of the intestine, an air-breathing organ in mud loach (Misgurnus anguillicaudatus), compared with two other obligate aquatic breathers, grass carp (Ctenopharyngodon idellus) and yellow catfish (Pelteobagrus fulvidraco), were directly provided by histological and morphometric methods. As a result, a sharply decreasing height of mucosal folds and thickness of muscularis were manifested in loach intestine from its anterior to posterior region. Compared with grass carp and yellow catfish, loach had the smallest ratios of mucosal fold height/muscularis thickness to intestinal lumen radius in the posterior intestine. These suggested that the posterior intestine is the air-breathing location for the loach. Furthermore, length density of capillary (0.46±0.05 μm-2) in the posterior intestine of the loach was significantly higher than those of grass carp and yellow catfish. Meanwhile, diffusion distance of air-blood barrier (1.34±0.04 μm) in the posterior intestine of the loach was significantly smaller than those of the other two fish species. In summary, the characteristics of highly vascularized, short diffusion distance of air-blood barrier, thinned and flattened made the posterior intestine a perfect air-breathing location for the loach

Surface Decomposition of Doped PrBaMn₂O_5+δInduced by in Situ Nanoparticle Exsolution:Quantitative Characterization and Catalytic Effect in Methane Dry Reforming Reaction

The exsolution of metallic nanoparticles (NPs) from perovskite oxides is a promising strategy for synthesizing supported catalysts. The associated segregation of A-site cations on the surface is challenging to investigate experimentally and is often detrimental to the catalytic performance. In this work, we found that during the in situ exsolution of Ni-Co bimetallic nanoparticles from Pr0.45Ba0.45Mn1–x(Co1/3 Ni2/3)xO3±δ, A-site cation enrichment occurred on the surface when x is 0.1; yet, the perovskite surface decomposed when x reached 0.2, forming a thin layer comprising various nanocrystalline oxides, which partially blocked the active sites of the exsolved Ni-Co particles. A hydration and carbonation reaction facilitated the conversion of nanocrystalline BaO species into large and highly crystallized BaCO3 particles. This enabled the exposure of more Ni-Co active sites and offered a chance to quantify that the decomposed surface layer accounts for ∼7.2 wt % of the total perovskite. Because of this unique feature, the surface-decomposed catalyst showed higher activity in the dry methane reforming reaction with better stability. Importantly, the regeneration feature was not hampered as the complete exsolution-dissolution recyclability of the catalyst remained

Postseismic Restoration of the Ecological Environment in the Wenchuan Region Using Satellite Data

Using Landsat remote-sensing data combined with geological information extracted from ALOS and Sentinel-1A radar data, the ecological environment was evaluated in the years 2007, 2008, 2013, and 2017 through gray correlation analysis on the basis of the construction of the pressure-state-response model. The main objective of this research was to assess the ecological environment changes in Wenchuan County before and after the earthquake, and to provide reference for future social development and policy implementation. The grading map of the ecological environment was obtained for every year, and the ecological restoration status of Wenchuan County after the earthquake was evaluated. The results showed that the maximum area cover at a “safe” ecological level was over 46.4% in 2007. After the 2008 earthquake, the proportion of “unsafe” and “very unsafe” ecological levels was 40.0%, especially around the Lancang River and the western mountain area in Wenchuan County. After five years of restoration, ecological conditions were improved, up to 48.0% in the region. The areas at “critically safe” and above recovered to 85.5% in 2017 within nine years after the deadly Wenchuan earthquake of May 12, 2008. In this paper, we discuss the results of detailed analysis of ecological improvements and correlation with the degrees of pressure, state, and response layers of the Pressure-State-Response (PSR) model

Land-Use/Land-Cover Changes and Their Influence on the Ecosystem in Chengdu City, China during the Period of 1992–2018

Due to urban expansion, economic development, and rapid population growth, land use/land cover (LULC) is changing in major cities around the globe. Quantitative analysis of LULC change is important for studying the corresponding impact on the ecosystem service value (ESV) that helps in decision-making and ecosystem conservation. Based on LULC data retrieved from remote-sensing interpretation, we computed the changes of ESV associated with the LULC dynamics using the benefits transfer method and geographic information system (GIS) technologies during the period of 1992–2018 following self-modified coefficients which were corrected by net primary productivity (NPP). This improved approach aimed to establish a regional value coefficients table for facilitating the reliable evaluation of ESV. The main objective of this research was to clarify the trend and spatial patterns of LULC changes and their influence on ecosystem service values and functions. Our results show a continuous reduction in total ESV from United States (US) $1476.25 million in 1992, to US$1410.17, $1335.10, and$1190.56 million in 2001, 2009, and 2018, respectively; such changes are attributed to a notable loss of farmland and forest land from 1992–2018. The elasticity of ESV in response to changes in LULC shows that 1% of land transition may have caused average changes of 0.28%, 0.34%, and 0.50% during the periods of 1992–2001, 2001–2009, and 2009–2018, respectively. This study provides important information useful for land resource management and for developing strategies to address the reduction of ESV

Regional Forest Volume Estimation by Expanding LiDAR Samples Using Multi-Sensor Satellite Data

Accurate information regarding forest volume plays an important role in estimating afforestation, timber harvesting, and forest ecological services. Traditionally, operations on forest growing stock volume using field measurements are labor-intensive and time-consuming. Recently, remote sensing technology has emerged as a time-cost efficient method for forest inventory. In the present study, we have adopted three procedures, including samples expanding, feature selection, and results generation and evaluation. Extrapolating the samples from Light Detection and Ranging (LiDAR) scanning is the most important step in satisfying the requirement of sample size for nonparametric methods operation and result in accuracy improvement. Besides, mean decrease Gini (MDG) methodology embedded into Random Forest (RF) algorithm served as a selector for feature measure; afterwards, RF and K-Nearest Neighbor (KNN) were adopted in subsequent forest volume prediction. The results show that the retrieval of Forest volume in the entire area was in the range of 50–360 m3/ha, and the results from the two models show a better consistency while using the sample combination extrapolated by the optimal threshold value (2 × 10−4), leading to the best performances of RF (R2 = 0.618, root mean square error, RMSE = 43.641 m3/ha, mean absolute error, MAE = 33.016 m3/ha), followed by KNN (R2 = 0.617, RMSE = 43.693 m3/ha, MAE = 32.534 m3/ha). The detailed analysis that is discussed in the present paper clearly shows that expanding image-derived LiDAR samples helps in refining the prediction of regional forest volume while using satellite data and nonparametric models

A comprehensive city-level final energy consumption dataset including renewable energy for China, 2005–2021

The role of China is increasingly pivotal in climate change mitigation, and the formulation of energy conservation and emission reduction policies requires city-level information. The effectiveness of national policy implementation is contingent upon the support and involvement of local governments. Accurate data on final energy consumption is vital to formulate and implement city-level energy transitions and energy conservation and emission reduction policies. However, there is a dearth of data sources pertaining to China’s city-level final energy consumption. To address these gaps, we developed computational modeling techniques along with top-down and downscaling methods to estimate China’s city-level final energy consumption. In this way, we compiled a final energy consumption inventory for 331 Chinese cities from 2005 to 2021, covering seven economic sectors, 30 fossil fuels, and four clean power sources. Moreover, we discussed the validity of the estimation results from multiple perspectives to enhance estimation accuracy. This dataset can be utilized for analysis in various cutting-edge research fields such as energy transition dynamics, transition risk management strategies, and policy formulation processes

A comprehensive city-level final energy consumption dataset including renewable energy for China, 2005–2021

The role of China is increasingly pivotal in climate change mitigation, and the formulation of energy conservation and emission reduction policies requires city-level information. The effectiveness of national policy implementation is contingent upon the support and involvement of local governments. Accurate data on final energy consumption is vital to formulate and implement city-level energy transitions and energy conservation and emission reduction policies. However, there is a dearth of data sources pertaining to China’s city-level final energy consumption. To address these gaps, we developed computational modeling techniques along with top-down and downscaling methods to estimate China’s city-level final energy consumption. In this way, we compiled a final energy consumption inventory for 331 Chinese cities from 2005 to 2021, covering seven economic sectors, 30 fossil fuels, and four clean power sources. Moreover, we discussed the validity of the estimation results from multiple perspectives to enhance estimation accuracy. This dataset can be utilized for analysis in various cutting-edge research fields such as energy transition dynamics, transition risk management strategies, and policy formulation processes