Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effects of Materialism and Hedonic Shopping Value on the Impulse Buying Behavior: A Study on University Students in Turkey

The purpose of this research is to determine the effects of materialism and hedonic shopping value on impulse buying behavior and the effect of materialism on hedonic shopping value. The study sample was comprised of students selected via convenience sampling method at one state university in the Marmara Region of Turkey. The analysis of the data acquired by face-to-face questionnaire method from a total of 464 university students was performed by factor analysis. Structural equation modeling was used to assess the effects of materialism and hedonic shopping value on impulse buying behavior and the effect of materialism on hedonic shopping value. The findings showed that the success dimension of materialism has a positive effect on all dimensions of hedonic shopping value and that the success and centrality dimensions of materialism have a positive effect on impulse buying behavior. Also, it was observed that the happiness dimension of materialism has a negative effect on impulse buying behavior and all dimensions of hedonic shopping value. Furthermore, it was seen that the social interaction and praise from others dimensions of hedonic shopping value have a negative effect on impulse buying behavior. These findings can help theorist and marketers better understand young people’s impulse buying behaviors. verilerin analizi faktör analizi yapılmıştır. Materyalizmin hedonik alışveriş değerinin üzerindeki etkilerini materyalizmin hedonik alışveriş üzerindeki etkisini değerlendirmek için yapısal modellemesi kullanılmıştır. Bulgular, materyalizmin başarı boyutunun boyutları that the effects of the dimension H10
Student’s Academic Performance Prediction in Academic using Data Mining Techniques

Data Mining has adopted by many areas like education, telecommunication, retail management etc. to resolve their business problems. Due to features likes classification, clustering and association rule mining, it becomes imperative. In this paper, for building predictive classification models algorithms like Naive-Bayes, Decision Tree, Random-Forest, JRip, and ZeroR are implemented on student academic performance dataset. In our implementation results, we found that school, as well as study-time, also affect the final student grade. Classification algorithms like One Rule, Joint Reserve Intelligence Program and Decision Tree have more than 80.00 % accuracy for predicting student result, and they perform equally well.
Spatio-temporal variations of tropospheric nitrogen dioxide in Turkey based on satellite remote sensing

The satellite observations of NO2 acquire the total tropospheric column over an area while the current ground observations lack spatial and temporal coverage. In this study the Dutch Ozone Monitoring Instrument (OMI) NO2 (DOMINO) data product v2.0 for 2004 - 2019 period was used to analyze the spatial and temporal variations of NO2 in Turkey. Considering the seasonality characteristics of NO2, we have used pixel based Seasonal Kendall (S-K) test to investigate the trend of the change. The highest values of NO2 has been found at the metropolitan areas and perimeter of the high capacity power plants in the observed period. The monthly average concentrations of NO2 are higher in winter months due to the higher demand of heating and power usage. The S-K trend test results indicate a statistically negative trend at the largest cities such as Istanbul, Ankara and Izmir. However statistically significant positive trend has been found in some areas and Syrian border provinces in particular. Our results show that there is an abrupt change by 2011 in the tropospheric NO2 concentrations, same period when the first Syrian refugees have arrived after the political disorder. The dramatic change at the emission landscape of the NO2 in the region can be explained by changes in population concentration due to political circumstances.
Nucleotide-Dependent Preferential Localization of Ras in Model Membranes with Lipid Raft Nanodomains

NUCLEOTIDE-DEPENDENT PREFERENTIAL LOCALIZATION OF RAS IN MODEL MEMBRANES WITH LIPID RAFT NANODOMAINS Anna Shishina, B.Sc., M.Sc. Marquette University, December 2017 Membrane proteins constitute a third of all proteins in the cell and more than 50% of drug targets. However, the analysis of membrane proteins has many challenges owing to their partially hydrophobic surfaces, flexibility and lack of stability. One example of an essential membrane protein is Ras superfamily. Ras is a small monomeric GTPase involved in regulation of cell growth, proliferation and differentiation. Therefore, Ras and its effectors are among the most important targets for cancer therapy. A detailed knowledge of the processes occurring during signal propagation via Ras might help to elucidate the mechanisms of the involved signal cascades. The preparation of lipid-modified Ras proteins and their study in the presence of the lipid membrane mimic is the subject of this work. Here we investigate the Ras interaction with lipids in isolation from a possible modulation by other cellular membrane proteins. In our study we focus on a property of Ras that it does not act as an ordinary membrane protein, which stays anchored at the same lipid domain throughout its lifetime. Instead, Ras is capable of moving between raft and disordered lipid domains during its functional cycle. It is suggested that Ras binds to some membrane proteins, and thus changes its localization. We have demonstrated that Ras molecule directly recognizes lipid domains, and its binding affinity depends on the activation state of Ras. The results of this work contribute to the further elucidation of the mechanisms of tumorogenesis and may provide new starting points for further developments in cancer therapy.
False memories when viewing overlapping scenes

Humans can memorize and later recognize many objects and complex scenes. In this study, we prepared large photographs and presented participants with only partial views to test the fidelity of their memories. The unpresented parts of the photographs were used as a source of distractors with similar semantic and perceptual information. Additionally, we presented overlapping views to determine whether the second presentation provided a memory advantage for later recognition tests. Experiment 1 (N = 28) showed that while people were good at recognizing presented content and identifying new foils, they showed a remarkable level of uncertainty about foils selected from the unseen parts of presented photographs (false alarm, 59%). The recognition accuracy was higher for the parts that were shown twice, irrespective of whether the same identical photograph was viewed twice or whether two photographs with overlapping content were observed. In Experiment 2 (N = 28), the memorability of the large image was estimated by a pre-trained deep neural network. Neither the recognition accuracy for an image part nor the tendency for false alarms correlated with the memorability. Finally, in Experiment 3 (N = 21), we repeated the experiment while measuring eye movements. Fixations were biased toward the center of the original large photograph in the first presentation, and this bias was repeated during the second presentation in both identical and overlapping views. Altogether, our experiments show that people recognize parts of remembered photographs, but they find it difficult to reject foils from unseen parts, suggesting that their memory representation is not sufficiently detailed to rule them out as distractors.
Development of a Presumed Function Method of Moments with Application to Polydisperse Sprays

In the present work, a Method of Moments (PMOM) based on presumed functions for the particle size distribution and a novel relaxation approach for the size-velocity correlation was derived and tested for different configurations. The model is applied to a series of “proof-of-concept” test cases for polydisperse particle segregation in order to study the effect of size dependent particle velocity on particle and momentum transport. A practical configuration consisting of a spray generated by an ultra-sonic atomizer was also assessed and compared to experimental data.
Light Modulates Virulence Factors in Strain Aac5 of Acidovorax citrulli

Background: Acidovorax citrulli causes bacterial fruit blotch (BFB), a disease that poses a global threat to watermelon and melon production. Despite the economic importance of BFB, relatively little is known about the regulation of A. citrulli pathogenesis. Light has a role in regulating the virulence factors of many plant pathogenic bacteria; however, the role of light in A. citrulli is unknown. This study aimed to investigate the roles of light in A. citrulli pathogenicity. Results: We found that light suppressed swimming motility andbiofilm formation in A. citrulli Aac5 strain. Furthermore, we found that A. citrulli Aac5 strain exhibited significant differences in colony morphology under light and dark conditions. In fact, the twitching motility of A. citrulli Aac5 strain also was supressed cultured by light conditions compared to dark conditions. In addition, the expression of hrpG, hrpX, and hrcC genes, which are important for type 3 secretion system (T3SS), was inhibited under light compared to dark conditions. However, in A. citrulli host interactions, light suppressed ROS production and enhanced callose deposition by watermelon when induced by A. citrulli; in addition, light enhanced the ability of A, citrulli to infect watermelon. These results suggest that light affected the pathogenicity of A. citrulli Aac5 strain by regulating its virulence factors and watermelon immune response. Conclusions: Light as an important environmental factor plays an important role in regulating the occurrence of plant diseases. BFB as an important watermelon disease seriously threatens the development of the industry. However, there are few reports on the impact of environmental factors on the disease. In our studying, we report for the first time that light can inhibit the expression of major virulence factors, such as swimming motility, biofilm formation, twitching motility, and even key gene of T3SS in A. citrulli Aac5 strain. But surprisingly, the light enhances the pathogenicity of A. citrulli Aac5 strain for natural host watermelons. The important phenotypes of host immune response are also different between ROS and callose deposition. These phenomena reflect the close relationship between BFB occurrence and light factor, which is of great significance for the study of BFB.
Formulation and Chemical Stability in Aqueous Media of Cannabidiol Embedded in Cardanol-Based Nanovesicles

With relevance to an increasingly large set of environmentally friendly products and processes, a green nanoformulation based on renewables was proposed. Our attention was devoted to cannabidiol (CBD), a cannabis extract compound known for its intrinsically low chemical stability that limits its therapeutic potential. In this work, the environmental stability of CBD was improved, adopting a new sustainable formulation. In particular, for the first time, CBD was embedded into a vesicular nanosystem based on cardanol (CA) known for its antioxidant properties which stabilize and avoid its degradation in an aqueous environment. Chemical and physical characterization of nanovesicles was carried out by dynamic light scattering (DLS) and nuclear magnetic resonance (NMR). Exhaustive dialysis was used to purify samples, and the presence of CBD not embedded into nanodispersions was monitored by UV–vis spectrometry measurements until its disappearance. Identification and quantification of CA and CBD were performed a.
Librarianship Students’ E-Specialized Information Seeking Habits

— The paper presents the habits of seeking e-specialized information conducted by the librarianship students at a Mekong Delta University in Vietnam. Based on Charles Duhigg’s habitual concept and habit loop [3], a quantitative study using surveys was undertaken with 127 Library and Information students. Findings show that students' e-specialized information seeking habits are related to frequency, information type, format, searching techniques and skills. Five factors influencing students' e-specialized information seeking habits are identified. They are intrinsic motivation, extrinsic motivation, searching criteria, perceptions and barriers. Practical solutions are also presented to provide librarianship students with insights into alternative ways of exploiting e-specialized information resources for the good sake of their academic studies and future jobs .
Prevalence and correlates of pregnancy self-testing among pregnant women attending antenatal care in western Kenya

In sub-Saharan Africa little is known about how often women use pregnancy self-tests or characteristics of these women despite evidence that pregnancy self-testing is associated with early antenatal care (ANC) initiation. Understanding the characteristics of women who use pregnancy self-tests can facilitate more targeted efforts to improve pregnancy testing experiences and entry into the ANC pathway. We conducted a cross-sectional survey among pregnant women enrolling in a pre-exposure prophylaxis (PrEP) implementation study to determine the prevalence and factors associated with pregnancy self-testing among women in western Kenya. Overall, in our study population, 17% of women obtained a pregnancy self-test from a pharmacy. Pregnancy test use was higher among employed women, women with secondary and college-level educated partners, and women who spent 30 minutes or less traveling to the maternal and child health (MCH) clinic. The most reported reasons for non-use of pregnancy self-tests included not thinking it was necessary, lack of knowledge, and money to pay for the test. Future research should focus on understanding the knowledge and attitudes of women toward pregnancy self-testing as well as developing community-based models to improve access to pregnancy testing and ANC.
Real-Time Object Detection based on Divergent Activation

Object detection is a research hotspot in the field of computer vision and has significant research value in the fields e.g. human-computer interaction, video surveillance, automatic driving, face recognition, medical imaging and etc. This paper proposes a novel real-time object detection algorithm based on YOLOv2 and divergent activation which aims to extract semantically complementary and discriminative features. The introduced divergent activation mechanism can be divided into differential divergent activation and hierarchical divergent activation that obtains the spatial complementary features by fusing different spatial distribution information of objects at the same level and activates a complete range of objects by fusing complementary semantics of objects from different levels, respectively. Experimental results on PASCAL VOC2007 and PASCAL VOC2012 show that our proposed algorithm reached 81.0% on mean average precision(mAP), indicating the effectiveness of the proposed algorithm.
Microstructural Observation and Transcriptome Analysis of Pistil Abortion in ‘Li Guang’ Apricot

Background: ‘Li Guang’ apricot, a famous local variety, originated in Dunhuang city, Gansu Province,China. It has a long flowering period and a large amount of flowers, but serious pistil abortion has become one of the key factors affecting the fruit set, yield and quality. The distribution and regulation of hormones play an important role in signal molecules of flower abortion. The critical mechanisms of hormone metabolism and the expression levels of genes involved in these processes are, however, poorly understood. Results: To clarify the critical molecular mechanisms of hormone-induced abortion in apricot, normal and abortive flower buds were taken as materials, the pistil abortion of apricot flower was studied by paraffin section, and the RNA seq was used to identify the genes related to flowering regulation. The pistil style was lower than filament. Microstructure showed that the pollen grains of abortive flowers were decreased sharply, the ovaries shrunk and the ovule primordia developed stagnately. Through RNA-Seq, 6647 differentially expressed genes, including 2543 up-regulated and 4104 down-regulated genes, were identified. According to the KEGG Pathway, the pyruvate metabolism, plant hormone signal transduction, spliceosome, RNA transport, protein processing in endoplasmic reticulum and other metabolic pathways were significantly enriched. It revealed that AUX1, AUX / IAA, TIR1, ARF, GH3 and SAUR , vital genes displayed identical differential expression profiles to auxin transduction pathway, and ABF , SnRK2 , PP2C to abscisic acid, JAZ, MYC2 to jasmonic acid. The qRT-PCR assay with independent samples showed that the expression levels of these selected genes were basically consistent with RNA-Seq results. Conclusions : In the whole differentiate stage of flower, pistil abortion represent versatile style . In this process, the changes of hormones play an important role in pistil abortion, especially IAA,GA,and CTK. Related genes involved in hormones synthesis expression regulate the content of hormones and to adapt to the occurrence of pistil abortion under adversity. At the same time, the ethylene response signal factor ERF1/2 (DN70415) was up-regulated in normal flowers, which further indicated that ethylene might be the key regulatory factor affecting the abortion of ‘Liguang’ apricot flowers.
N-carbamoylglutamate supplementation in late-gestation dairy cows is associated with increased newborn weight and improved nutrient supply in the placentome

Background N-carbamoylglutamate (NCG), a structural analog of N-acetylglutamate that is essential for endogenous arginine synthesis, has unique advantages, including low rumen degradability, low cost, and a lack of negative effects on intestinal absorption of dietary histidine and lysine. Information is limited on the effect of dietary NCG on the reproduction performance of the late-gestation dairy cows. The objective of this study was to investigate whether supplementation of NCG to cows during late gestation alters uteroplacental tissue nutrient transporters, calf metabolism and newborn weight. Results Thirty multiparous Chinese Holstein cows were used in an experiment with a randomized complete block design. During the last 28 d of pregnancy, cows were fed a diet without (CON) or with NCG (20 g/d/cow). The mRNA expression of genes related to arginine, glucose, and fatty acid transporters, angiogenesis factors and the mTOR pathway in the placentome were analyzed. Blood samples of calves were collected for analysis of plasma parameters, amino acids, and metabolites. The newborn weight (P < 0.01) and plasma arginine concentrations (P = 0.07) were higher in NCG calves than in CON calves. The mRNA expression of genes involved in glucose transport, angiogenesis and the mTOR pathway in the placenta was upregulated (P < 0.01) in NCG-supplemented cows. In addition, 17 significantly different metabolites identified were mainly involved in arginine and proline metabolism; alanine, aspartate and glutamate metabolism and the citrate cycle. Conclusions These results suggest that the increased expression of angiogenesis factors and glucose transporters and the activation of mTOR signaling pathways in the uteroplacenta that occurs through changes in gene transcription under NCG supplementation may be contribute to an increased nutrient supply and improved amino acid metabolism and urea cycling in the fetus.
Influence of former lynchets on soil cover structure and soil organic carbon storage in agricultural land, Central Czechia

Lynchets represent a traditional landscape element in agricultural landscapes having multiple functions in soil material redistribution, water retention, biodiversity and landscape character. They act as a barrier to translocated soil matter, and they can store a significant amount of soil material and soil organic carbon. Lynchets developed in many regions during formation of agriculture landscape as field boundaries or path networks. Further management led to unleveling of the fields and development of lynchets. During the 20th century, a large number of lynchets disappeared in Central and Western Europe due to land consolidation, intensification and industrialization of agriculture. This study was performed at a large agricultural study plot with dissected relief (Central Czechia) with the aim of assessing the influence of former but now completely levelled lynchets on actual soil stratigraphy, depth, soil organic carbon stocks and structure of soil units. The soil profiles in 20‐m‐long transects perpendicular to former lynchets were analysed, and statistical relationships between the positions above, in and below the former lynchets were assessed. The results showed high variability of studied soil characteristics in the areas of former lynchets. Statistically significant greater A horizon thickness (50–100 cm) and SOC stock (12.7 kg/m2) were observed in the location of a former lynchet, where colluvial soils were identified. Other areas of accumulation were identified below a lynchet, at the former break‐in‐slope. The strip above a lynchet was identified as a sediment delivery area, having a partly truncated soil profile. SOC concentration and SOC stock in A horizon did not differ significantly in the positions in, above or below a lynchet.
Selaginella subvaginata (Selaginellaceae), a new spikemoss from China

Selaginellaceae is an ancient group of lycopods comprising some 700-750 living species in one genus, Selag­ inella P. Beauv. (Jermy, 1990). The most often referred infrageneric classification was proposed by Jermy (1986), with five subgenera: Subg. Selaginella (2 species), Subg. Tetragonostachys Jermy (ca. 50 species), Subg. Ericeto­ rum Jermy (3 species), Subg. Heterostachys Baker (ca. 60 species), and Subg. Stachygynandrum (P. Beauv. ex Mirb.) Baker (ca. 600 species). More recently, Weststrand and Korall (2016) proposed a new infrageneric classification of Selaginella, which classified Selaginella into seven subgenera: Subg. Selaginella (2 species), Subg. Rupestrae Weststrand & Korall (ca. 50 species), Subg. Lepidophyl­ lae (Li Bing Zhang & X.M.Zhou) Weststrand & Korall (2 species), Subg. Gymnogynum (P.Beauv.) Weststrand & Korall (ca. 40 species), Subg. Exaltatae Weststrand & Korall (3 species), Subg. Ericetorum Jermy (4 species), and Subg. Stachygynandrum (P.Beauv. ex Mirb.) Baker (ca. 600 species). The majority of Selaginella species have uniform, monomorphic sporophylls (isosporophyllous), approximately 10% species have dimorphic sporophylls (anisosporophylls). South China to Southeast Asia is the diversity center of anisosporphyllous Selaginella, with more than 36 species distributed in China alone (Zhang, 2004; Zhang et al., 2013). Recently, a few anisosporophyllous species have been newly reported from China (Sun et al., 2015; Shalimov et al., 2019). Taxonomy of the anisosporophyllous species is often difficult because most species are small plants with minute and obscure characters, even the status of dimorphism of sporophylls is obscure and sometimes only slightly different from isosporophylls. Molecular phylogeny has resolved the isosporophyll species and the anisosporophyll species being separate lineages (Korall et al., 1999; 2000; 2004) at least for the majority of Old World species (except S. bisulcata Spring and S. pennata (D. Don) Spring). Selaginella vaginata Spring (synonym: Selaginella compta Hand.-Mazz.) belongs to Subg. Heterostachys Baker in Jermy’s classification (1986) and Subg. Stachyg­ ynandrum (P.Beauv. ex Mirb.) Baker in Weststrand and Korall (2016). This species is widely distributed from Journal of Species Research 9(3):221-232, 2020