Miracle-dz/UniFAR-FTUs huggingface dataset:
Metabolic Response of Larix Olgensis A. Henry to Polyethylene Glycol-simulated Drought Stress

BackgroundDrought stress in trees limits their growth, survival, and productivity, and it negatively affects the afforestation survival rate. Molecular responses to drought stress have been extensively studied in broad-leaved species, but studies on coniferous species are limited.ResultsOur study focused on the molecular responses to drought stress in a coniferous species, Larix olgensis A. Henry. Drought stress was simulated in one-year-old seedlings using 25% polyethylene glycol 6000. The drought stress response in these seedlings was assessed by analyzing select biochemical parameters, along with gene expression and metabolite profiles. The soluble protein content, peroxidase activity, and malondialdehyde content of L. olgensis were significantly changed during drought stress. Quantitative gene expression analysis identified a total of 8172 differentially expressed genes in seedlings processed after 24 h, 48 h, and 96 h of drought stress treatment. Compared with the gene expression profile of the untreated control, the number of up-regulated genes was higher than that of down-regulated genes, indicating that L. olgensis mainly responded to drought stress through positive regulation. Metabolite analysis of the control and stress-treated samples showed that under drought stress, the increased abundance of linoleic acid was the highest among up-regulated metabolites, which also included some saccharides. A combined analysis of the transcriptome and metabolome revealed that genes dominating the differential expression profile were involved in glutathione metabolism, galactose metabolism, and starch and sucrose metabolism. Moreover, the relative abundance of specific metabolites of these pathways was also altered. Thus, our results indicated that L. olgensis prevented free radical-induced damage through glutathione metabolism and responded to drought through sugar accumulation.ConclusionsThe soluble protein content, peroxidase activity, and malondialdehyde content of L. olgensis were significantly changed during drought stress. A total of 8172 differentially expressed genes in seedlings processed after drought stress treatment. A combined analysis of the transcriptome and metabolome revealed that genes dominating the differential expression profile were involved in glutathione metabolism, galactose metabolism, and starch and sucrose metabolism. Our results indicated that L. olgensis prevented free radical-induced damage through glutathione metabolism and responded to drought through sugar accumulation.
Sentiment analysis of commodity reviews based on ALBERT-LSTM

Sentiment analysis of product reviews has now become one of the important research directions in the field of NLP, which is of great significance in helping merchants better understand user preferences and providing decision-making basis for other users to purchase products. Existing product review sentiment analysis models based on deep learning mostly use traditional word vector models. It is difficult to obtain the contextual semantic information of words, and there is a problem of “polysemous one word”. A product review sentiment analysis model combining ALBERT and LSTM is proposed. First, we use the ALBERT pre-training model to get the word vector containing sequence and semantic information. Then we use the LSTM model that can obtain long-distance semantic features for training. Finally, the emotional polarity of product reviews is classified and output through the emotional polarity discrimination layer. The experimental results on the data set of digital products of JD Mall show that the F1 value of the ALBERT-LSTM model is improved compared with the ALBERT and LSTM models.
Species, Climatypes, Climate Change, and Forest Health: A Conversion of Science to Practice for Inland Northwest (USA) Forests

Research Highlights: This paper integrates disparate research results pertaining to climate change impacts to 12 co-occurring forest tree species and their climatypes such that management options for the ecosystem as a whole become discernible. Background and Objectives: The ecosystem under analysis is the Thuja-Tsuga forest ecosystem, occupying ca. 121,500 km2 in a largely mountainous setting in the interior northwest, USA. Our goal is to present land management options tied directly to climate-change in a straightforward framework for both the current and future generations. Materials and Methods: By merging synecological and genecological concepts in a climatic framework, we simplify complex interactions in a manner that relates directly to climate change impacts. Species and climatype distributions are redefined in terms of mean annual temperature and elevation of forested landscapes. Results: For each 2 °C increase in temperature, plant associations should shift upwards ca. 400 m, provided precipitation remains at or near contemporary levels, which, for this ecosystem, vary between 300 mm and 1450 mm. Management guidelines are developed for (a) selecting climatypes of the species suited to the climate at the leading edge of the migration front, (b) anticipating decline at the trailing edge, and (c) converting climatypes in areas where species should persist. Conclusions: Our results can provide robust strategies for adapting forest management to the effects of climate change, but their effectiveness is dependent on the implementation of global warming mitigation actions.
Soil carbon sequestration to mitigate climate change: a critical re‐examination to identify the true and the false

The term ‘carbon sequestration’ is commonly used to describe any increase in soil organic carbon (SOC) content caused by a change in land management, with the implication that increased soil carbon (C) storage mitigates climate change. However, this is only true if the management practice causes an additional net transfer of C from the atmosphere to land. Limitations of C sequestration for climate change mitigation include the following constraints: (i) the quantity of C stored in soil is finite, (ii) the process is reversible and (iii) even if SOC is increased there may be changes in the fluxes of other greenhouse gases, especially nitrous oxide (N2O) and methane. Removing land from annual cropping and converting to forest, grassland or perennial crops will remove C from atmospheric CO2 and genuinely contribute to climate change mitigation. However, indirect effects such as conversion of land elsewhere under native vegetation to agriculture could negate the benefit through increased CO2 emission. Re‐vegetating degraded land, of limited value for food production, avoids this problem. Adding organic materials such as crop residues or animal manure to soil, whilst increasing SOC, generally does not constitute an additional transfer of C from the atmosphere to land, depending on the alternative fate of the residue. Increases in SOC from reduced tillage now appear to be much smaller than previously claimed, at least in temperate regions, and in some situations increased N2O emission may negate any increase in stored C. The climate change benefit of increased SOC from enhanced crop growth (for example from the use of fertilizers) must be balanced against greenhouse gas emissions associated with manufacture and use of fertilizer. An over‐emphasis on the benefits of soil C sequestration may detract from other measures that are at least as effective in combating climate change, including slowing deforestation and increasing efficiency of N use in order to decrease N2O emissions.
Semi‐micro determination of total phosphorus in soils, sediments, and organic materials: A simplified perchloric acid digestion procedure

Abstract A semi‐micro modification of perchloric acid digestion method for the determination of total P in soils, sediments, and organic materials is described. Samples are digested for 30 minutes with nitric acid at 115 °C and then for 2 hours with perchloric acid at 170 °C in an aluminum heating block. After dilution, samples are hydrolyzed at 100 °C for 1 hour in order to decompose pyrophosphate, and the liberated orthophosphate is determined without a neutralization step by the phosphomolybdate blue method of Murphy and Riley (1962). Comparability with the method of Sommers and Nelson (1972) is demonstrated using nine samples of different types. The same reaction conditions of digestion and color development as in the determination of total P in waters (Kopacek and Hejzlar, 1993) enable a comparable estimate of total P in solid and water samples in complex environmental studies.
Precarious familismo among Latinas/os/xs: Toward a critical theoretical framework centering queer communities

Among the Latina/o/x community, familismo is often deemed as one of the most important institutions of support. Research has consistently demonstrated the various and affirming ways in which the cultural value of familismo is manifested across Latina/o/x familial structures (e.g., unconditional support, acceptance, reciprocity, collectivism, protection, loyalty). Despite such assertions, familismo is not necessarily expressed in the same positive manners toward queer members of the family. After surveying the literature on familial structures and relationships among Latinas/os/xs, including queer individuals, and familismo dimensions, I noted limitations in the ways familismo scholarship is discussed. Consequently, I build on previous conceptions of precarious familismo as a more critical and inclusive theoretical framework of queer Latina/o/x experiences and broader familial relationships.
The DC resistivity of modified PZT ceramics

PZT ceramics with various impurities were prepared by the powder metallurgy method, in the temperature range 1150-1350 degrees C. The electrical resistivity of each composition has been studied. Explanations based on the distribution model were given. Within the solubility limit, the impurities can produce A-site vacancies or produce O-site vacancies for the PZT ceramics, depending on the valence and the size of impurity ion. When the A-site vacancy produced was added, it acted as a donor, contributed electrons to the conduction process, and increased the resistivity of ceramics, owing to the p-type electrical conduction of undoped ceramics. But the O-site vacancy produce served as an acceptor, contributed holes to the conduction process and thus decreased the resistivity.
Suppression of myocardial HIF-1 by pubertal insulin resistance compromises metabolic adaptation and impairs cardiac function in patients with cyanotic congenital heart disease

Cyanotic congenital heart disease (CCHD) is a complex pathophysiological condition involving systemic chronic hypoxia (CH). A proportion of CCHD patients are unoperated due to various reasons. These patients remain CH all their lives and are at increased risk of heart failure as they age. Hypoxia activates cellular metabolic adaptation to balance energy demands by accumulation of hypoxia-inducible factor 1α (HIF-1α). The aim of this study was to determine the effect of CH on cardiac metabolism and function in CCHD patients and how it relates with age. The mechanistic role of HIF-1α in this process was investigated and potential therapeutic targets were explored. CCHD patients (n=20) were evaluated for cardiac metabolism and function by positron-emission tomography/computed tomography and magnetic resonance imaging. Heart tissues collected during surgical intervention were subjected to metabolomic and protein analyses. CH rodent models were generated to enable continuous observation of changes in cardiac metabolism and function. The role of HIF-1α in cardiac metabolic adaptation to CH was investigated using genetically modified animals and isotope-labeled metabolomic-pathway tracing studies. Prepubertal CCHD patients had glucose-dominant cardiac metabolism and normal cardiac function. By comparison, among patients who had entered puberty, the level of myocardial glucose uptake and glycolytic intermediates were significantly lower, but fatty acids were significantly higher, along with decreased left ventricular ejection fraction. These clinical phenotypes were replicated in CH rodent models. In patients and animals with CH, myocardial HIF-1α was upregulated prior to puberty, but was significantly downregulated during puberty. In cardiomyocyte-specific Hif-1α-knockout mice, CH failed to initiate the switch of myocardial substrates from fatty acids to glucose, leading to inhibition of ATP production and impairment of cardiac function. Increased insulin resistance (IR) suppressed myocardial HIF-1α and was responsible for cardiac metabolic maladaptation under CH during puberty. Pioglitazone significantly reduced myocardial IR, restored glucose metabolism, and improved cardiac function in pubertal animals. In CCHD patients, maladaptation of cardiac metabolism occurred during puberty, impairing cardiac function. HIF-1α was identified as the key regulator of cardiac metabolic adaptation under CH but its expression was suppressed by pubertal IR. The use of pioglitazone during puberty might help improve cardiac function in these patients. Metabolic maladaptation in CCHD patients Type of funding source: Foundation. Main funding source(s): National Natural Science Foundation of China (81525002, 31971048) and Shanghai Outstanding Medical Academic Leader
IMPLEMENTATION OF MACHINE LEARNING TECHNIQUE IN STOCK MARKET PREDICTION

: Stock price prediction is an important and classic problem in the world of stock trading. The Stock value prediction is associate degree act of making an attempt to work out the long run worth of a stock or economic instrument that area unit listed on a monetary exchange. With successful prediction we can gain insight about market behavior over time. In earlier the traditional techniques such as the technical and important or the time series analysis were used for prediction of the stocks. The recent trend in stock market prediction is using machine learning techniques as its model makes prediction easier and authentic. We prepare a robust dataset with various features on which the model is trained and tested. So, in this paper we propose a Deep Learning (DL) approach using Long Short-Term Memory (LSTM) that will be trained from the available stocks data and gain intelligence and then uses the non-inheritable data for associate degree for correct prediction. Python programming language is used to predict the stock market using Deep learning.
Chromophoric Barbituric Acid Derivatives with Adjustable Hydrogen‐Bonding Patterns as Component for Supramolecular Structures

The barbituric acid moiety of the presented dyes shows multifunctional properties like acidochromism, solvatochromism, and adjustable hydrogen-bonding pattern for molecular recognition. Hydrogen-bonding ability, acidity and solvato-chromic effects are studied for a series of N-alkyl substituted 5 -( 4 -nitrophenyl)-barbiturates. Solvatochromism and metal ion complexation are also investigated using chromophoric thiobarbituric acid derivatives.
Relationship of Bone Mineral Density and Knee Osteoarthritis (Kellgren-Lawrence Grade): Fifth Korea National Health and Nutrition Examination Survey

Background Osteoarthritis (OA) and osteoporosis (OP) are the 2 most common bone disorders associated with aging. We can simply assume that older patients have a higher incidence of OA and OP with more severity. Although several papers have conducted studies on the relationship between OA and OP, none of them has demonstrated a conclusive link. In this study, we used radiological knee OA and bone mineral density (BMD; T-score of the total hip and lumbar spine) to analyze the incidence of OA and OP in a large population. We aimed to determine the relationship between OA and OP and investigate the associated risk factors Methods This cross-sectional study used data extracted from the 2010–2012 Korea National Health and Nutrition Examination Survey. We evaluated a total of 4,250 participants aged ≥ 50 years who underwent knee radiography and dual-energy X-ray absorptiometry and their laboratory results. The relationship between radiological knee OA and BMD was assessed. The generalized linear model was used to evaluate the relationship between BMD and Kellgren-Lawrence (KL) grade. Results The higher KL grade was associated with older age, higher body mass index (BMI), female sex, and lower hemoglobin level (p < 0.001). No significant association was found between OA and the following variables: white blood cell, platelet, total cholesterol, vitamin D, alkaline phosphatase, parathyroid hormone, hypertension, diabetes, asthma, dyslipidemia, smoking status, alcohol consumption, and regular exercise (p > 0.05). After adjusting for confounding factors (age, BMI, diabetes, hypertension, smoking, and alcohol consumption), the average T-scores of total hip and lumbar spine were the highest in the mild OA group with KL grade 2 (−0.22 ± 1.08 and −0.89 ± 1.46, respectively, p < 0.001). The average T-scores of the total hip and lumbar spine significantly decreased as OA progressed from moderate (KL grade 3; −0.49 ± 1.05 and −1.33 ± 1.38, respectively, p < 0.001) to severe (KL grade 4; −0.73 ± 1.13 and −1.74 ± 1.75, respectively, p < 0.001). T-scores of the moderate-to-severe OA group were significantly lower than those of the non-OA group (KL grades 0 and 1, p < 0.001). Conclusions Compared with the non-OA group, BMD (T-scores of the total hip and lumbar spine) was higher in the mild OA group and lower in the moderate-to-severe OA group.
Numerical solution of stiff random ordinary differential equations via averaged schemes

Random ordinary differential equations (RODEs) are important differential equations that contain a stochastic process in their vector field functions. Examples of such stochastic processes are Brownian motion (i.e., Wiener process) and fractional Brownian motion. Taking a path from the stochastic process, these equations can be considered as ordinary differential equations, but numerical schemes for solving ordinary differential equations don't necessarily preserve their convergence order for these equations. In this paper, an implicit ϑ‐averaged scheme for numerical solution of RODEs is introduced. The proposed method involves averaging the noise inside the vector field and leads to integrals of the noise over discretization subintervals. Pathwise convergence and B‐stability of the above scheme are proved. Eventually, the desired averaged scheme is implemented on a medical model.
Titanyl phthalocyanine/C60 heterojunctions: Band-edge offsets and photovoltaic device performance

Planar heterojunction organic photovoltaic devices have been created using oxo-titanium phthalocyanine (TiOPc) as the donor layer and fullerene (C60) as the acceptor layer, with comparisons to devices based on copper phthalocyanine (CuPc) as the donor. TiOPc/C60 and CuPc/C60 heterojunctions were first characterized by a combination of UV-photoelectron spectroscopy (UPS) and X-ray photoelectron spectroscopy (XPS) to estimate the frontier orbital energy offset (EDHOMO − EALUMO), which is related to the open-circuit photopotential (VOC). A small interface dipole effect was seen at the TiOPc/C60 interface (eD ≈ 0.02 eV), whereas a significant interface dipole was observed for the CuPc/C60 interface (eD ≈ 0.3 eV). On the basis of the work presented here and previously reported electrochemical and UPS/XPS studies, we estimate an EDHOMO − EALUMO energy offset of ca. 1.1 eV for the TiOPc/C60 heterojunction and 0.7 eV for the CuPc/C60 heterojunction. Maximum VOC values observed at room temperature for correspondin.
Molecular electrostatic potential of the b-dna helix. VII. effect of screening by monovalent cations

The influence on the molecular electrostatic potential of a B-DNA double helix of the screening of its phosphates by sodium and methylammonium cations is described. The effects of these two counterions are compared with respect to changes in the global potential of DNA and with respect to the potential minima at the nucleophilic sites of the purine and pyrimidine bases.
A Competency Mining Method Based on Latent Dirichlet Allocation (LDA) Model

A text mining approach based on latent Dirichlet allocation (LDA) is proposed to analyze the competency characteristics. First, we briefly introduce the principle and hypothesis of latent Dirichlet allocation (LDA) model. Second, we elaborate the idea of using LDA topic model to extract competency, Then, we use Chinese text materials such as biographies and interviews of Chinese scientific and technological talents as data sources to conduct experiments, and obtain four competency topics including knowledge, attitude, quality and values. The research results preliminarily verify the effectiveness of latent Dirichlet allocation (LDA) model in competency research, but there are still many details to be improved in the future.
PRECLINICAL CHARACTERIZATION AND DEVELOPMENT OF MG1124, A NOVEL IMMUNE CHECKPOINT INHIBITOR TARGETING CEACAM1 FOR NSCLC PATIENTS

reduction in tumor volume in the combination therapy regimens with Tinzaparin. Possible mechanisms for these effects include an increase in CD8+ cells, a decrease in Tregs cells, a reduction in VEGFR-2 expression, and an increase in cancer cell apoptosis. This synergistic strategy can create new avenues for the treatment of patients with pancreatic cancer, achieving a better clinical outcome and greater survival. Background There is a high unmet need for effective systemic treatment for patients with metastatic radioactive iodine
The Powerful Student Consumer and the Commodified Academic: A Depiction of the Marketised UK Higher Education System through a Textual Analysis of the ITV Drama Cheat

Through a textual analysis of four episodes comprising the 2019 ITV 1 psychological thriller Cheat, this article explores a fictional representation of the United Kingdom (UK) Higher Education (HE) setting in a television drama. We discuss our analysis in the context of growing marketisation of UK HE, where academics are increasingly viewing students as powerful consumers. We focus on one of the central characters, final-year undergraduate student Rose Vaughan, and the staff with whom she interacts in a fictional HE institution – St. Helen’s College. This article engages with the following themes: ‘The powerful student consumer’ and ‘The commodified academic’. Insight gleaned through the textual analysis of this dramatised depiction of UK HE allows us to attempt to understand how both students and academics might be navigating the neoliberal university and negotiating place and status as (paying) students and (commercial) academics. Although heralded as powerful student-consumers in much literature, our analysis of this television drama shows how students can potentially disrupt the united front often attempted by HE institutions, but ultimately are faced with a ‘the house always wins’1 scenario. Our article offers an important contribution to the psycho-sociological literature into how the television drama depicts that the student experience has been transformed and impacted by HE’s marketisation. This includes a reconsideration of how the television drama portrays what it means to be a student, by exploring how one student is conceptualised, understood, and represented in the psychological thriller.