jimnoneill/paper-to-field-training huggingface dataset:
The Research on Cross-border Online Shopping Transaction Risk Based on Online Data Access

Field: Decision Sciences (Social Sciences)

The study focuses on the transaction risk faced by consumers when it comes to cross-border online shopping. On the process of shopping cross border online, the overseas purchasing agent was set as the basic in this study. Then, dataset is used to verify the application of KMV model in cross-border e-commerce transaction risk. The store risk indicators of overseas purchasing agent is divided into five types. It is operating duration, rate of return and replacement, number of positive comments, the seller's reputation, and sales. The entropy weight method is used to determine the weight of each indicator, and then KMV model is given a new meaning. Finally, through experiment verification and analysis, KMV has a good early warning effect on the transaction risk of cross-border online shopping. The higher the seller's reputation is, the smaller probability od a store's transaction risk will be. The number of positive comments and sales as same as the seller's reputation. However, if the rate of return and replacement is high, the probability of a store's transaction risk will also be high. Although the indicator of the rate of return and replacement has a low weight, it is still very important.
Khanaliha et al.: Expression and Purification of P43 …

Field: Biochemistry, Genetics and Molecular Biology (Life Sciences)

Background: Toxoplasma gondii is an obligate intracellular protozoan parasite, capable of infecting all species of mammals including man. Congenital toxoplasmosis is more important during pregnancy for the first time. In this study we expressed and purified P43 Toxoplasma gondii tachyzoite and bradyzoite specific surface antigen. Methods: The recombinant pGEMEX-1 contained Toxoplasma P43 coding sequence was transformed into E. coli and mass cultured in LB medium contained 100 μg/ml ampicillin at 37°C over night.The T7 promoter was induced by 1mM isopropyl-1-thio-ß-D-galactopyranoside (IPTG. Recombinant protein was purified by affinity chromatography and confirmed by gel diffusion dot blot and western blot,-using specific anti Toxoplasma antibodies. Results: Recombinant plasmid was induced by IPTG and analyzed by SDS-PAGE. Recombinant protein was confirmed by Western-blot and dot blot using anti human Toxoplasma antibody. Conclusion: Recombinant Toxoplasma P43 was produced successfully.
Source apportionment of polycyclic aromatic hydrocarbons in New York/New Jersey Harbour sediment

Field: Environmental Science (Physical Sciences)

Abstract Data on polycyclic aromatic hydrocarbons (PAHs) measured in surface sediment and cores in the New York/New Jersey Harbour under the Contamination Assessment and Reduction Project (CARP) was examined via Positive Matrix Factorization (PMF), which revealed six sources. Two represented the higher and lower molecular weight (MW) fractions of coal tar and/or creosote (pyrogenic) sources and explained 49% of PAH mass in the sediment samples. Two sources were related to uncombusted petroleum (petrogenic) sources, such as heavy fuel oil and crude oil, and explained 30% of PAH mass. The final two sources were related to combustion (pyrogenic) sources such as gasoline‐ and diesel‐fuelled vehicles and explained 21% of the PAH mass. Sediment cores revealed that Σ 22 PAH increased from the pre‐industrial period until about 1980 and then decreased because of efforts to control water pollution via mechanisms such as the Clean Water Act.
Diabetes of the exocrine pancreas

Field: Medicine (Health Sciences)

Abstract Diabetes of the exocrine pancreas (DEP) is a form of diabetes that occurs due to pancreatic disease. It is far more common than has been previously considered, with a recent study showing 1.8% of adults with new‐onset diabetes should have been classified as DEP. The majority is misdiagnosed as type 2 diabetes mellitus (T2DM). Patients with DEP exhibit varying degrees of exocrine and endocrine dysfunction. Damage to the islet of Langerhans effects the secretion of hormones from the β, α, and pancreatic polypeptide cells; the combination of low insulin, glucagon, and pancreatic polypeptide contributes to rapid fluctuations in glucose levels. This form of “brittle diabetes” may result in the poorer glycemic control observed in patients with DEP, when compared with those with T2DM. Diabetes of the exocrine pancreas has a different natural history to other forms of diabetes; patients are more likely to require early insulin initiation compared with those with T2DM. Therefore, individuals with DEP should be advised about the symptoms of decompensated hyperglycemia, although they are less likely to develop ketoacidosis. Clinicians should screen for DEP in patients with acute or chronic pancreatitis, following pancreatic resection, or with co‐existing cystic fibrosis or hemochromatosis. Incident diabetes may herald the onset of pancreatic ductal carcinoma in a small subset of patients. Once identified, patients with DEP can benefit from specific lifestyle advice, pancreatic enzyme replacement therapy, metformin treatment, appropriate insulin dosing, and monitoring. Further research is needed to establish the ideal treatment regimens to provide optimal clinical outcomes for this unique form of diabetes.
EFEKTIVITAS PEMBELAJARAN GEOGRAFI MENGGUNAKAN GOOGLE CLASSROOM PADA SMA NEGERI DI KOTA SAMARINDA

Field: Social Sciences (Social Sciences)

Online learning is one of the new policies in the education sector due to the global pandemic, namely COVID-19. This online learning policy is expected to continue to support the achievement of educational goals. Effectiveness in learning is often measured as a standard for achieving educational goals. Google classroom as a digital-based education platform is considered capable of being a learning link between teachers and students. The implementation of this research is to determine the effectiveness of online teaching and learning activities using Google Classroom at SMA Negeri 1, SMA Negeri 3, SMA Negeri 7 and SMA Negeri 8. This research is quantitative descriptive. The population used in this study were students in grades X, XI, and XII and high school teachers in the city of Samarinda. Data retrieval was carried out using google forms, learning outcomes documents, and interviews, then the analytical technique used was the interactive model of analysis by comparing the results of the google form questionnaire, learning outcomes, and interviews. The results of the study illustrate that online geography learning using google classroom ranges from 51% -75% only and is considered less effective due to several factors, namely network constraints, quota costs and and google classroom used in this study is not optimal. In addition, when face-to-face learning using google meet only 30% - 50% of students who follow it and some teachers do not carry out face-to-face for fear of burdening students. As a result, teachers only provide materials, media, videos, and assignments in Google Classroom, even though the average student learning outcomes are above the KKM. The conclusion in the study shows the use of google classroom when learning geography online is less effective.
How do streetscape visual components affect public perception in post-renewed neighborhoods: a case study in Chengdu

Field: Social Sciences (Social Sciences)

Streets are fundamental public spaces within urban environments, profoundly impacting public well-being through their visual quality. This study endeavors to construct a multiple linear regression model to explore the relationship between visual components and public perception in selected post-renewal neighborhoods. Moreover, it innovative employs a mediating effect test to delve into the underlying mechanisms through which streetscape visual elements influence perception of beauty. By quantifying streetscape visual components, we identified 7 key elements by categorizing 150 semantic categories obtained from the Deeplab V3+ model and ADE20K dataset. Furthermore, we utilized the Shannon Wiener index and Pielou’s evenness index to characterize the distribution of these visual components. Subsequently, these 9 components and questionnaire data were employed as variables in the multiple regression model and mediating effect test. The results unveil a significant correlation between visual components and public perception. Particularly noteworthy, 5 visual components demonstrate full mediation in influencing perception of beauty. This implies that public perception of streetscape is indirectly influenced by various factors. The research findings are poised to serve as a valuable reference for regional urban planning, design, and management.
Development of two multiplex PCR assays targeting improvement of bread‐making and noodle qualities in common wheat

Field: Agricultural and Biological Sciences (Life Sciences)

Abstract Wheat quality properties are genetically determined by the compositions of high and low molecular weight glutenin subunits, grain hardness, polyphenol oxidase (PPO) activity and starch viscosity. Two multiplex PCR assays were developed and validated using 70 cultivars and advanced lines from Chinese autumn‐sown wheat regions. Multiplex PCR I includes molecular markers for genes/loci ω‐secalin , Glu‐B1‐2a ( By8 ), Glu‐D1‐1d ( Dx5 ), Glu‐A3d , Glu‐B3 (for non‐1B·1R type) and Pinb‐D1b targeting improved gluten parameters and pan bread quality. Multiplex PCR II comprises markers for genes/loci Ppo‐A1 , Ppo‐D1 and Wx‐B1b targeting improved noodle quality. The results were consistent with those achieved by SDS‐PAGE and RP‐HPLC, indicating that the two multiplex assays were highly effective, with good repeatability and low costs enabling their use in wheat breeding programmes. In total, nine alleles (subunits) at locus Glu‐B1 , four at Glu‐D1 and five at Glu‐A3 locus were identified, and the alleles (subunits) Glu‐B1b (7 + 8), Glu‐B1c (7 + 9), Glu‐D1a (2 + 12), Glu‐D1d (5 + 10), Glu‐A3a , Glu‐A3c and Glu‐A3d were most frequently present in the cultivars and lines tested. The 1B·1R translocation was present in 28 (40.0%) lines, whereas the Wx‐B1 null allele for better noodle quality was present in only seven (10.0%) cultivars and advanced lines, and 37 (52.9%) lines had Pinb‐D1b associated with hard grains. The allele Ppo‐A1b on chromosome 2AL associated with lower PPO activity was present in 38 (54.3%) genotypes, whereas the less effective allele Ppo‐D1a on chromosome 2DL, also associated with low PPO activity was present in 45 (64.3%) of genotypes. These two multiplex PCR assays should be effective in marker assisted selection targeting improved pan bread‐making and noodle qualities.
Sub-sampling graph neural networks for genomic prediction of quantitative phenotypes

Field: Computer Science (Physical Sciences)

Abstract In genomics, use of deep learning (DL) is rapidly growing and DL has successfully demonstrated its ability to uncover complex relationships in large biological and biomedical data sets. With the development of high-throughput sequencing techniques, genomic markers can now be allocated to large sections of a genome. By analyzing allele sharing between individuals, one may calculate realized genomic relationships from single-nucleotide polymorphisms (SNPs) data rather than relying on known pedigree relationships under polygenic model. The traditional approaches in genome-wide prediction (GWP) of quantitative phenotypes utilize genomic relationships in fixed global covariance modeling, possibly with some nonlinear kernel mapping (for example Gaussian processes). On the other hand, the DL approaches proposed so far for GWP fail to take into account the non-Euclidean graph structure of relationships between individuals over several generations. In this paper, we propose one global convolutional neural network (GCN) and one local sub-sampling architecture (GCN-RS) that are specifically designed to perform regression analysis based on genomic relationship information. A GCN is tailored to non-Euclidean spaces and consists of several layers of graph convolutions. The GCN-RS architecture is designed to further improve the GCN’s performance by sub-sampling the graph to reduce the dimensionality of the input data. Through these graph convolutional layers, the GCN maps input genomic markers to their quantitative phenotype values. The graphs are constructed using an iterative nearest neighbor approach. Comparisons show that the GCN-RS outperforms the popular Genomic Best Linear Unbiased Predictor method on one simulated and three real datasets from wheat, mice and pig with a predictive improvement of 4.4% to 49.4% in terms of test mean squared error. This indicates that GCN-RS is a promising tool for genomic predictions in plants and animals. Furthermore, GCN-RS is computationally efficient, making it a viable option for large-scale applications.
Influence of a hospital-based wellness program on employee fitness.

Field: Health Professions (Health Sciences)

The purpose of this study was to evaluate changes in aerobic fitness among female participants in a hospital-based wellness program. Subjects were divided retrospectively into control (n = 5) and experimental (n = 17) groups, based on their frequency of exercise during a supervised exercise program. The control group exercised less than two days a week, the experimental group exercised two to four days a week. Body weight, percent body fat, and estimated maximal oxygen consumption (VO2 max) were assessed before and after 6- to 12-months of individually prescribed exercise. Pre- and post-test results were analyzed with paired t tests. In the experimental group, body weight and percent body fat remained unchanged (P greater than .05) whereas estimated VO2 max increased significantly (P less than .05). No changes (P greater than .05) were observed in the control group. These results demonstrated that regular participation in a supervised exercise program can effectively increase aerobic fitness.
The Pulmonary Absorption-Excretion Volume Effect

Field: Medicine (Health Sciences)

An in-vitro experiment demonstrated the concentration effect of N2O (3% versus 75%) during elimination and during uptake. Other pulmonary absorption-excretion phenomena also occur simultaneously, as paired events during uptake and then during elimination:diffusion hyperoxia and diffusion anoxia; alveolar concentration of CO2, and alveolar dilution of CO2. These clinical phenomena, as well as the second gas effect, are all related, and the pulmonary absorption-excretion volume is found to depend in part on the type of ventilation:volume controlled, pressure controlled, or spontaneous respiration.
Deep Placement of Nitrogen Fertilizers Increases Nitrogen Utilization Efficiency in No-tillage Paddy Fields Mainly by Inhibiting Nitrification

Field: Agricultural and Biological Sciences (Life Sciences)

Abstract

Deep placement of nitrogen (N) fertilizers can effectively increase N utilization efficiency (NUE) in no-tillage (NT) paddy fields. Nitrification and denitrification are potential ways for affecting NUE by affecting inorganic N supply in crop. However, the effect of nitrification and denitrification on NUE still remains unknown under NT paddy fields with deep placement of N fertilizers. This study investigated the changes in nitrification and denitrification, and their possible effects on NUE with different application methods of N fertilizers [no N (CK), N broadcasting (BC), and point deep placed at 10 cm depth (DP) of N fertilizers] under NT paddy fields. The abundances of ammonium oxidation archaeal (AOA), ammonium oxidation bacteria (AOB), and nirK / S-type denitrifiers were measured by absolute real-time qPCR. Inorganic nitrogen (NH4+ and NO3−) transport rates from rhizospheric soil to root surface were measured by a transport model with 15NH4+ and 15NO3− isotope. Structural equation modeling was constructed to analyze the data. In both the 2022 and 2023 rice growing seasons, DP lowered nitrification rate and increased denitrification rate with functional microorganisms significantly relative to BC in the non-rhizosphere and rhizosphere. DP obviously enhanced the mean rhizospheric NH4+ transport rate by 21.7% and cut down rhizospheric NO3− transport rate by 17.9% versus BC. The strengthened root system in DP advanced NUE by 26.5%-27.9% compared with BC. Structural equation modeling shows that DP raises NUE in NT paddy fields mainly by regulating rhizospheric inorganic nitrogen transport rate through inhibiting nitrification.
Perceived Self-Orientation and Self-Motion in Microgravity, After Landing and During Preflight Adaptation Training

Field: Psychology (Social Sciences)

The research described in this paper is intended to support development and evaluation of preflight adaptation training (PAT) apparatus and procedures. Successful training depends on appropriate manipulation of visual and inertial stimuli that control perception of self-motion and self-orientation. For one part of this process, astronauts are trained to report their self-motion and self-orientation experiences. Before their space mission, they are exposed to the altered sensory environments produced by the PAT trainers. During and after the mission, they report their motion and orientation experiences. Subsequently, they are again exposed to the PAT trainers and are asked to describe relationships between their experiences in microgravity and following entry and their experiences in the trainers.
Linked collectors and determiners for: HCF herbarium - Universidade Tecnológica Federal do Paraná - Campus Campo Mourão - Herbário Virtual REFLORA.

Field: Agricultural and Biological Sciences (Life Sciences)

Natural history specimen data linked to collectors and determiners held within, "HCF herbarium - Universidade Tecnológica Federal do Paraná - Campus Campo Mourão - Herbário Virtual REFLORA". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/8766db9d-86a9-4db5-81ff-d3632826d5b9 using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/8766db9d-86a9-4db5-81ff-d3632826d5b9. Formatted as a Frictionless Data package.
Target enrichment sequence data of Odonata, supporting Bybee et al. 2021

Field: Agricultural and Biological Sciences (Life Sciences)

Dragonflies and damselflies are a charismatic, medium-sized insect order (~6300 species) with a unique potential to approach comparative research questions. Their taxonomy and many ecological traits for a large fraction of extant species are relatively well understood. However, until now, the lack of a large-scale phylogeny based on high throughput data with the potential to connect both perspectives has precluded comparative evolutionary questions for these insects. Here, we provide an ordinal hypothesis of classification based on anchored hybrid enrichment using a total of 136 species representing 46 of the 48 families or incertae sedis, and a total of 478 target loci. Our analyses recovered the monophyly for all three suborders: Anisoptera, Anisozygoptera and Zygoptera. Although the backbone of the topology was reinforced and showed the highest support values to date, our genomic data was unable to fully resolve portions of the topology. The latter suggests that increasing the taxon sampling might resolve these issues rather than increasing molecular data. In addition, a quartet sampling approach highlights the potential evolutionary scenarios that may have shaped evolutionary phylogeny (e.g., incomplete lineage sorting and introgression) in the evolutionary history of this taxon. Finally, in light of our phylogenomic reconstruction and previous morphological and molecular information we proposed an updated odonate classification and define five new families (Amanipodagrionidae fam. nov., Mesagrionidae fam. nov., Mesopodagrionidae fam. nov., Priscagrionidae fam. nov., Protolestidae fam. nov.) and reinstate another two (Rhipidolestidae stat. res., Tatocnemididae stat. res.). Additionally, we feature the problematic taxonomic groupings for examination in future studies to improve our current phylogenetic hypothesis.
Islamic banking : less profitable and more risky? A review of global evidence.

Field: Economics, Econometrics and Finance (Social Sciences)

This thesis examined a global stock market returns database of 71 banks on their profitability and systematic risk. It is concluded that there was no significant evidence that Islamic banks were less profitable and more risky than non-Islamic banks. In fact, the results suggested that Islamic banks may be more profitable and less risky than conventional and hybrid banks.
QUALITY ASPECTS OF AERIAL DIGITAL ORTHOPHOTOS, THE PRODUCERS POINT OF VIEW

Field: Engineering (Physical Sciences)

Abstract. The paper gives an overview on the problems occurring during commercial digital orthophoto (DOP) production. There is a wide variety in requirements on orthophotos. It is no problem to produce good orthophotos in small areas, whereas production of good and homogeneous orthophotos in large areas remains a challenge. Therefore, we discuss large area orthophotos based on regular areal flight with regular flight parameters and nadir images, not on large numbers of images creating orthophotos based on various oblique images. The focus of the paper is to optimize the process of line production of orthophotos to achieve the best results under minimum usage of resources. Beside improvements in commercial software, the improvement in process design can help to achieve this objectives. It is necessary the attach importance to the different quality aspects to invest the limited resources at the most profitable process step. The requirements on orthophotos can be grouped into three categories: geometric, radiometric and aesthetic requirements. The main intention is to generate correct and well interpretable orthoimages, putting attention to geometry and radiometry. Many requirements cause enormous expenditures in flight time, number of images and amount of interactive editing work. Among the geometric aspects, the accuracy is the prominent factor. The geometric quality of the underlying digital terrain model (DTM) is of outstanding importance. Depending on the used focal length during acquisition and overlap, geometric errors in the DTM are directly represented in the orthophoto. Particularly at manmade surface break lines, even horizontal DTM errors occur striking in the orthophotos. A special consideration is to put on objects outside the DTM surface. While buildings may be represented in a good manner in a digital surface models (DSM) to generate so called “true orthophotos”, there is no way to represent vegetation, cables, poles etc. in an appropriate manner in any DSM. Seam lines have to disappear in the mosaics. There should be no indication for the detection of the used seam lines nether in geometric nor in radiometric edges. The radiometric aspect include a good distribution of the color values in the histogram, good contrasts should become quantified. It is impossible to measure the aesthetic quality, but is has to be homogeneous over the whole project area without eye-catching artefacts. In the conclusion, we want to give to the producers of orthophotos and their clients a list of criteria and quality figures to be agreed on before the production starts to avoid later discussions.