Miracle-dz/UniFAR-FTUs huggingface dataset:
Panic, pizza and mainstreaming the alt-right: A social media analysis of Pizzagate and the rise of the QAnon conspiracy

The conspiracy theory known as ‘Pizzagate’ gained a cult following on alt-right forums, ultimately prompting one believer to conduct a shooting on the pizzeria identified by online conspiracists. A thematic analysis of 767 tweets referencing Pizzagate selected from five key intervention points in this timeframe reveals several factors influencing Pizzagate’s continued appeal over a four-year period. The article examines how an online alt-right conspiracy collective, QAnon, weaponized Pizzagate as part of its overarching campaign to attract support for President Donald Trump and worked to establish the theory as a popular (albeit false) narrative within the contemporary political zeitgeist.
Carbonic anhydrase isoforms of Neopyropia yezoensis: Intracellular localization and expression profiles in response to inorganic carbon concentration and life stage

Macroalgae, particularly commercially grown seaweed, substantially contribute to CO2 removal and carbon storage. However, knowledge regarding the CO2 concentrating mechanism (CCM) of macroalgae is limited. Carbonic anhydrase (CA), a key component of the biophysical CCM, plays important roles in many physiological reactions in various organisms. Few characteristics of CA in Neopyropia yezoensis are known, particularly its intracellular location and responses to different concentrations of Ci. We identified, amplified, and characterized 11 putative genes encoding N. yezoensis CA. The predicted corresponding proteins clustered into three subfamilies: α‐, β‐, and γ‐type. The intracellular localization of seven CA isoforms—one in the chloroplasts, three in the cytoplasm, and three in the mitochondria—was elucidated with fusion proteins. Higher NyCA expression, particularly of certain chloroplastic, cytosolic, and mitochondrial CAs, is observed more often during the foliose stage, thus suggesting that CAs play important roles in development in N. yezoensis.
A suitability visualisation method for flood fusion 3D scene guided by disaster information

ABSTRACT Enhancing the visualisation of floods is essential for users to understand disaster information. However, existing flood visualisation methods have some deficiencies like scarce scene content expression and difficulty obtaining disaster information quickly and lacked a semantic description of the disaster scenes. This study presents constraint rules of flood disaster scene modelling guided by disaster information to determine the disaster’s content and correlation. We created a disaster fusion expression model to obtain the complete flood disaster scene which integrated basic geography scene, flood space-time process and disaster object models. Finally, we proposed a dynamic suitability visualisation method for the flood scene to increase the readability of disaster information. We applied the proposed model in the Danba County flood in Sichuan Province, China, to validate the model’s performance effectiveness. The finding shows the variation range of flow velocity and flood depth at different monitoring points at a specific time, and also shows the disaster level of disaster objects in the study area. It indicates that the proposed method can effectively realise the fusion of 3D disaster scenes and the dynamic suitability visualisation of floods and help users understand floods quickly and get useful disaster information.
Evaluation of Hawaiian Heritage Sweet Potato (Ipomoea batatas (L.) Lam.) Breeding Lines

Producing ‘Hawaiian Heritage’ cultivars can raise the market value of locally grown sweet potatoes and increase small farmer earnings in Hawaii. Twelve sweet potato breeding lines (Ipomea batatas L.), derived from the Hawaiian maternal parent ‘Mohihi’, together with four check varieties, were trialed under organic management conditions across three environments (site-year combinations) in Oahu, Hawaii (Waimānalo-2018, Waimānalo-2019 and Poamoho-2019). Trials were harvested five months after planting, consistent with local commercial production standards. There were significant differences in fresh harvest yield, post-curing yield, shape, and quality between environments and cultivars. The ‘Hawaiian Heritage’ lines HM 26 and HM 34 outperformed the commercial standard, demonstrating the potential use of traditional Hawaiian germplasm in modern breeding programs. Additionally, ‘Hawaiian Heritage’ lines (e.g., HM 32 and HM 17) with unique traits favored by the local community may be suitable breeding materials for niche markets.
A New Look at the Effects of the Interest Rate Ceiling in Arkansas

Arkansas has been a popular place to study the effects of rate ceilings because of its exceptionally low interest rate ceiling. This paper examines the effects of the Arkansas rate ceiling on credit use by risky nonprime Arkansas consumers, which are especially vulnerable to credit rationing because of the low ceiling. We compare the level and composition of consumer debt of nonprime consumers in Arkansas with that of prime Arkansas consumers and also nonprime consumers in the neighboring states. We find that nonprime Arkansas consumers are less likely to have consumer debt and, conditional on having debt, have lower, but not much lower, levels of consumer debt than prime Arkansas consumers and nonprime consumers in neighboring states. Types of credit used by nonprime Arkansas consumers tend to differ from those of our comparison groups. Notable is much lower use of consumer finance loans, traditionally an important source of credit for higher risk consumers. This finding suggests rate-based rationing of risky consumers. Also notable is lower use of bank credit despite federal preemption of the rate ceiling for banks. This result is consistent with banks’ traditional avoidance of risky lending.
Attitudes and Preferences towards Soil-Based Ecosystem Services: How Do They Vary across Space?

Soil ecosystem services (ES) provide multiple benefits to human well-being, but the failure to appreciate them has led to soil degradation issues across the globe. Despite an increasing interest in the threats to soil resources, economic valuation in this context is limited. Importantly, most of the existing valuation studies do not account for the spatial distribution of benefits that soil ES provide to the population. In this study, we present the results of a choice experiment (CE) aimed at investigating spatial heterogeneity of attitudes and preferences towards soil conservation and soil ES. We explored spatial heterogeneity of both attitudes and welfare measures via GIS techniques. We found that citizens of the Veneto Region (Northeast Italy) generally have positive attitudes towards soil conservation. We also find positive willingness-to-pay (WTP) values for soil ES in most of the study area and a considerable degree of heterogeneity in the spatial taste distribution. Finally, our results suggest that respondents with pro-environmental attitudes display a higher WTP based on the geographic pattern of the distribution of WTP values and attitudinal scores across the area.
Electrochemical Sandwich Assays for Biomarkers Incorporating Aptamers, Antibodies and Nanomaterials for Detection of Specific Protein Biomarkers

The development of sensitive and selective assays for protein biomarkers and other biological analytes is important for advancing the fields of clinical diagnostics and bioanalytical chemistry. The potential advantages of using aptamers in electrochemical sandwich assays are being increasingly recognized. These assays may include an aptamer as both capture and detection agent or a combination of an aptamer with a different partner such as an antibody, a lectin or a nanomaterial. The second binding partner in the sandwich structure is typically conjugated to a redox marker, a catalyst or an enzyme that can be used to generate the signal needed for electrochemical detection. Nanoparticles and other nanostructures can be used as the carriers for multiple molecules of the detection partner and thereby increase the signal. Nanostructured surfaces can be used to increase surface area and improve electron transfer. Sensitive electrochemical methods including impedance, differential and square-wave voltammetry and chronocoulometry have been used for electrochemical signal read-out. Impressive results have been achieved using electrochemical sandwich assays in terms of limit of detection and linear range for a growing range of analytes. The recent progress for this type of assay for proteins and other biomarkers is the subject of this review.
Evapotranspiration and Crop Coefficient of Ratoon Rice Crop Determined by Water Depth Observation and Bayesian Inference

Actual crop evapotranspiration (ET) and crop coefficient (Kc) of ratoon rice crop, which are necessary for irrigation planning, have been hardly reported. ET can be directly measured by lysimeter and eddy covariance but it is expensive, so it remains difficult to determine ET, especially in developing countries. The focus of this study was to evaluate the ET and Kc of ratoon cropping in a tropical region of Myanmar using a simplified method. Our method combined the manual observation of water depth in concrete paddy tanks and the ET model estimation using Bayesian parameter inference. The ET and Kc could be determined using this method with an incomplete observation dataset. The total ET of ratoon was 60–70% less than that of the main crop, but this difference was mainly attributed to climate conditions in each cultivation. The Kc regression curve between transplanted rice and ratoon crops was different because of the tillering traits. The results suggest that irrigation scheduling of ratoon cropping in the initial growth stage should take high crop water requirements into account. In addition, the productivity of ratoon crop is equivalent to transplanted rice, which was determined for cultivation in experiment conditions of small concrete tanks. Therefore, further study on ratoon in Myanmar is necessary for clarifying the viability of ratoon cropping.
Yield, physicochemical quality, and antioxidant capacity of “beef” and wild tomato fruits (Solanum lycopersicum L.) as a function of the electrical conductivity of the nutrient solution

The objective of this study was to evaluate the response of three levels of electrical conductivity (2.0, 2.5 and 3.0 dS m-1) of Steiner’s nutrient solution on the yield, physicochemical quality, and antioxidant capacity of fruits from seven tomato genotypes and wild types of tomato (kidney selections). The yield, number of fruits per cluster (NFPC), average fresh fruit weight (AFWF), color, firmness, total soluble solids (TSS), total titratable acidity (TTA), vitamin C (VC), total phenols (TP), lycopene (LY) and antioxidant capacity (AC). The use of 2.5 and 3.0 dS m-1 increased the hue angle (49.05°) and TTA (0.35 and 0.36% citric acid). Among genotypes, L-51H and L-76H showed better performance (16.80 and 16.91 kg m-2, respectively), where L-28 stood out for its values of TSS, TTA, VC, TP and AC. Regarding the wild genotypes, the EC modification did not increase the yield; however, the use of 3.0 dS m-1 allowed the best results among the wild selections were SS3 (yield, AFWF and LY) and SS5 (NFPC, VC, TP and AC). The modification of the EC did not affect the yield, however, if it affected the physicochemical quality and antioxidant capacity of the analyzed materials.
On the use of reference mass spectra for reducing uncertainty in source apportionment of solid fuel burning in ambient organic aerosol

Abstract. Reference mass spectra are routinely used to facilitate source apportionment of ambient organic aerosol (OA) measured by an aerosol chemical speciation monitor (ACSM). However. source apportionment of solid fuel burning emissions can be complicated by the use of different fuels, stoves and burning conditions. In this study, the organic aerosol mass spectra produced from burning a range of solid fuels in several stoves have been compared using an ACSM. The same samples of biomass briquettes and smokeless coal were burnt in a conventional and Ecodesign stove, while different batches of wood, peat, and smoky coal were also burnt in the conventional stove and the OA mass spectra compared to those previously obtained using a boiler stove. The results shows that although certain ions (e.g., m/z 60) remain important markers for solid fuel burning, the peak intensities obtained at specific m/z values were not constant with variations ranging from <5% to >100 %. Using the OA mass spectra of peat, wood and coal as anchoring profiles and the variation of individual m/z values for the upper/lower limits in ME-2 analysis (the limits approach), the respective contributions of these fuels to ambient sub-micron aerosols during a winter period in Dublin were evaluated and compared with the conventional a value approach. The ME-2 solution was stable for the limits approach with uncertainties in the range of 2–7 %, while relatively large uncertainties (8–29 %) were found for the a value approach. Nevertheless, both approaches showed good agreement overall, with the burning of peat (39 % vs 41 %) and wood (14 % vs 11 %) accounting for the majority of ambient organic aerosol during polluted evenings, despite their small uses. This study, thus, accounts for the source variability in ME-2 modelling and provides better constraints on the primary factor contributions to the ambient organic aerosol estimations. The finding from this study has significant implications for public health and policymakers considering that it is often the case that different batches of solid fuels are often burned in different stoves in real-world applications.
Black locust flowers: antioxidant extraction kinetics, reducing capacity, mineral composition, and antioxidant activity

Abstract The impact of solvent polarity on the kinetics, reducing capacity, antioxidant activity, and mineral composition of black locust (Robinia pseudoacacia) flowers extracts obtained by ultrasound-assisted extraction was investigated. The DPPH assay and the Folin-Ciocalteu method were applied to define the antioxidant activity and reducing capacity of the extracts, respectively. The mineral content was defined using the ICP-OES method. Ponomaryov and non-stationary diffusion models were used for modeling the extraction of antioxidants. The obtained results showed that antioxidant activity, phenolic and mineral contents of the extracts were varied significantly depending on the solvent polarity. The highest reducing capacity (3.78 g gallic acid equivalent per 100 g dry weight) had the 50% (v/v) methanol extract, while the strongest antioxidant activity (IC50 = 0.3381 mg/mL) was found in the 50% (v/v) ethanol extract. HPLC analysis showed that water as a solvent had the highest extraction capacity for vanillic acid and catechin hydrate. ICP-OES analysis confirmed that the black locust flower extracts are rich in macroelements (Ca, Na, Mg, K) with low content of heavy metals (Pb, Cd). The 50% (v/v) ethanol extract had the highest amount of macroelements, predominantly potassium (10.49 g/kg). The prepared extracts due to good antioxidant activity, high phenolic and mineral content, and low heavy metal contents can be considered useful for further human uses.
A Prediction Model of Customer Churn considering Customer Value: An Empirical Research of Telecom Industry in China

Customer churn will cause the value flowing from customers to enterprises to decrease. If customer churn continues to occur, the enterprise will gradually lose its competitive advantage. When the growth of new customers cannot meet the needs of enterprise development, the enterprise will fall into a survival dilemma. Focusing on the customer churn prediction model, this paper takes the telecom industry in China as the research object, establishes a customer churn prediction model by using a logistic regression algorithm based on the big data of high-value customer operation in the telecom industry, effectively identifies the potential churned customers, and then puts forward targeted win-back strategies according to the empirical research results. This paper analyzes the trends and causes of customer churn through data mining algorithms and gives the answers to such questions as how the customer churn occurs, the influencing factors of customer churn, and how enterprises win back churned customers. The results of this paper can better serve the practice of customer relationship management in the telecom industry and provide a reference for the telecom industry to identify high-risk churned customers in advance, enhance customer loyalty and viscosity, maintain “high-value” customers, and continue to provide customers with “value” and reduce the cost of maintaining customers.
Identification and characteristic analysis of enhancers across 13 major cancer types

Abstract Enhancers are often mutated and dysregulated in various diseases such as cancer. By integrating the function annotation of the mammalian genome (FANTOM) enhancers expression profiles and RNA-seq data from The Cancer Genome Atlas (TCGA) of 13 cancers and their corresponding para-cancerous tissues, we systematically identified a total of 4702 significantly differentially expressed (DE) enhancers. Furthermore, a total of 1036 DE genes regulated by DE enhancers were identified. It was found that in these 13 cancers, most (61.13%) enhancers were ubiquitously expressed, whereas DE enhancers were more likely to be tissue-specific expressed, and the DE genes regulated by DE enhancers were significantly enriched in cancer-related pathways. Finally, it was manifested that 74 single nucleotide polymorphisms (SNPs) were located in 37 DE enhancers, and these SNPs affected the gain and loss of functional transcription factor binding sites of 758 transcription factors, which were shown to be highly correlated with tumorigenesis and development.
catena-Poly[[diaquastrontium]-bis(μ-2-bromobenzoato)-κ2 O,O′:O′;κ3 O:O,O′]

The hydrothermal reaction of SrCO3 and 2-bromobenzoic acid in CH3OH–H2O afforded the SrII title polymeric complex, [Sr(C7H4BrO2)2(H2O)2]n. Within the coordination sphere, the SrII ion is located on a crystallographic twofold axis, and is coordinated by eight O atoms from two water molecules and four carboxylate groups of 2-bromobenzoate ligands in an irregular coordination geometry. Two μ3-carboxylate groups of the 2-bromobenzoate anions bridge two symmetry-related SrII atoms, giving rise to a chain structure extending along [001]. The polymeric chains are connected via O—H⋯O and O—H⋯Br hydrogen bonds interactions into a three-dimensional supramolecular network.
Deep Residual Involution Network for Hyperspectral Image Classification

Convolutional neural networks (CNNs) have achieved great results in hyperspectral image (HSI) classification in recent years. However, convolution kernels are reused among different spatial locations, known as spatial-agnostic or weight-sharing kernels. Furthermore, the preference of spatial compactness in convolution (typically, 3×3 kernel size) constrains the receptive field and the ability to capture long-range spatial interactions. To mitigate the above two issues, in this article, we combine a novel operation called involution with residual learning and develop a new deep residual involution network (DRIN) for HSI classification. The proposed DRIN could model long-range spatial interactions well by adopting enlarged involution kernels and realize feature learning in a fairly lightweight manner. Moreover, the vast and dynamic involution kernels are distinct over different spatial positions, which could prioritize the informative visual patterns in the spatial domain according to the spectral information of the target pixel. The proposed DRIN achieves better classification results when compared with both traditional machine learning-based and convolution-based methods on four HSI datasets. Especially in comparison with the convolutional baseline model, i.e., deep residual network (DRN), our involution-powered DRIN model increases the overall classification accuracy by 0.5%, 1.3%, 0.4%, and 2.3% on the University of Pavia, the University of Houston, the Salinas Valley, and the recently released HyRANK HSI benchmark datasets, respectively, demonstrating the potential of involution for HSI classification.
Cyber Media Policy on Diversity: Carefulness and Neutrality for the Sustainability of the News Coverage

Freedom of communication provides opportunities for cyber media on the news coverage of diversity to public. The government laws and regulations as well as news ethics become references when carrying out urban functions. However, media owners can impose additional limits on journalists for the continuity of cyber media operations. In accordance with the social function of cyber media in providing information to the public, the news coverage of cyber media must continue to carry out the diversity that society expects. Therefore, there are two aspects that the cyber media must implement. Firstly, it bases on media policies as well as media laws and regulations. Secondly, the cyber media carries out the news coverage of diversity precisely and carefully. The research purpose aims to describe the news coverage policy of cyber media and the news coverage of diversity in the regional level. It uses qualitative research methods. Data collection comes from informants who were determined purposively. The research results show that cyber media policy in the news coverage of diversity for the sake of cyber media operational sustainability, and the news coverage of diversity prioritizes the neutrality and independence of the news coverage.
The impact of clinical and psychological characteristics on alexithymia in type 1 diabetes

Background: Alexithymia is a psychological construct characterized by inability to express emotions, poor imagination and operational thinking. It is well known its association with several chronic disease such as Diabetes type 2, little is known about diabetes type 1. We examined the association of alexithymia with clinical and psychological outcomes in subjects with type 1 diabetes. Methods: The study was conducted in a single diabetes center. The patients fully completed a protocol composed of the following instruments: the Toronto Alexithymia Scale-20 (TAS-20), the State-Trait Anger Expression Inventory-2 (STAXI-2), the State-Trait Anxiety Inventory form Y (STAI-Y), and the Hamilton Rating Scale for Depression (HAMD). TAS-20 scores were subdivided into tertiles, Correlations and two linear regression analyses, adjusted for only clinical and clinical plus psychological characteristics, were performed. Overall, 75 patients were enrolled (mean age 41.0±11.4 years, diabetes duration 19.9±11.9 years, 49.3% males, 30.7% treated with CSII). Results: People with diabetes of the upper TAS-20 tertile had the greatest rate of depression (with the highest degree of severity) and the higher levels of anger and anxiety. There was a significant correlation between TAS-20 scores with BMI (r=0.26; p=0.03), HAMD (r=0.38; p=0.001), STAXI-2 (r=0.34; p=0.003) and STAI-Y (r=0.48; p<0.0001). Further regression analysis showed TAS-20 scores were associated with BMI (beta=0.29; p=0.02). The association with BMI was confirmed (beta=0.28; p=0.007) when psychological variables are considered; furthermore, a strong association with STAI-2 (beta=0.48; p<0.0001) was detected, while the analysis did reveal any significant correlation between alexithymia and HbA1c levels. Conclusions: Alexithymia is strongly associated both with clinical and psychological characteristics, notably with BMI and anxiety traits. People with diabetes type 1 should be assessed for alexithymia. Future studies on the current topic are therefore required in order to elucidate the role of alexithymia in diabetes type 1. We believe that patients with diabetes and alexithymia could take advantage of psychological counseling.