Miracle-dz/UniFAR-FTUs huggingface dataset:
Mediating Role of Customer Value Co-creation and Internal Branding Between Brand Orientation and Brand Performance: Moderating Effect of Enterprise Innovative Capabilities-Evidence From Agri Product Users

There has been a rejuvenated interest from researchers and scholars regarding the various ways in which organizations can enhance their overall brand performance. Enterprise brand orientation are said to be the main factors that aid in improving brand performance along with internal branding and the customer value co-creation. To assess this relationship, the present study undertook an inquiry to investigate the impact of enterprise brand orientation on brand performance. Moreover, the mediating roles of customer value co-creation and internal branding were also studied. Data was obtained from 358 Chinese consumers of various household, electronic, and textile goods through a self-administered survey. A SEM technique was applied using Smart-PLS to examine the data. The findings suggested that enterprise brand orientation had a significant effect on brand performance. Moreover, it was also observed that internal branding and customer value co-creation also had a predicting role in brand performance. In addition to this, customer value co-creation and internal branding were seen to be strongly mediating the relationships between enterprise brand orientation and brand performance. The study also checked the moderating role of enterprise innovative capabilities on the effect on enterprise brand orientation and brand performance. The theoretical implication entailed the value addition made by the current study in expanding the knowledge on the predictors of enterprise brand equity. The practical implication outlined the steps that could be taken by organizations to improve brand performance through enterprise brand orientation; internal branding and customer value co-creation so that customer satisfaction and enterprise brand performance could be enhanced.
N6-methyladenosine RNA methylation regulator-related alternative splicing gene signature as prognostic predictor and in immune microenvironment characterization of patients with low-grade glioma

Background: N6-methyladenosine (m6A) RNA methylation is an important epigenetic modification affecting alternative splicing (AS) patterns of genes to regulate gene expression. AS drives protein diversity and its imbalance may be an important factor in tumorigenesis. However, the clinical significance of m6A RNA methylation regulator-related AS in the tumor microenvironment has not been investigated in low-grade glioma (LGG). Methods: We used 12 m6A methylation modulatory genes (WTAP, FTO, HNRNPC, YTHDF2, YTHDF1, YTHDC2, ALKBH5, YTHDC1, ZC3H13, RBM15, METTL14, and METTL3) from The Cancer Genome Atlas (TCGA) database as well as the TCGA-LGG (n = 502) dataset of AS events and transcriptome data. These data were downloaded and subjected to machine learning, bioinformatics, and statistical analyses, including gene ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Univariate Cox, the Least Absolute Shrinkage and Selection Operator (LASSO), and multivariable Cox regression were used to develop prognostic characteristics. Prognostic values were validated using Kaplan-Maier survival analysis, proportional risk models, ROC curves, and nomograms. The ESTIMATE package, TIMER database, CIBERSORT method, and ssGSEA algorithm in the R package were utilized to explore the role of the immune microenvironment in LGG. Lastly, an AS-splicing factor (SF) regulatory network was examined in the case of considering the role of SFs in regulating AS events. Results: An aggregate of 3,272 m6A regulator-related AS events in patients with LGG were screened using six machine learning algorithms. We developed eight AS prognostic characteristics based on splice subtypes, which showed an excellent prognostic prediction performance. Furthermore, quantitative prognostic nomograms were developed and showed strong validity in prognostic prediction. In addition, prognostic signatures were substantially associated with tumor immune microenvironment diversity, ICB-related genes, and infiltration status of immune cell subtypes. Specifically, UGP2 has better promise as a prognostic factor for LGG. Finally, splicing regulatory networks revealed the potential functions of SFs. Conclusion: The present research offers a novel perspective on the role of AS in m6A methylation. We reveal that m6A methylation regulator-related AS events can mediate tumor progression through the immune-microenvironment, which could serve as a viable biological marker for clinical stratification of patients with LGG so as to optimize treatment regimens.
Serotonergic drug repurposing in multiple sclerosis: A new possibility for disease-modifying therapy

Investigation of neuroimmune interactions is one of the most developing areas in the study of multiple sclerosis pathogenesis. Recent evidence suggests the possibility of modulating neuroinflammation by targeting biogenic amine receptors. It has been shown that selective serotonin reuptake inhibitor fluoxetine modulates innate and adaptive immune system cells' function and can reduce experimental autoimmune encephalomyelitis and multiple sclerosis severity. This brief report discusses the immune mechanisms underlying the multiple sclerosis pathogenesis and the influence of fluoxetine on them. The retrospective data on the impact of fluoxetine treatment on the course of multiple sclerosis are also presented. The results of this and other studies suggest that fluoxetine could be considered an additional therapy to the standard first-line disease-modifying treatment for relapsing–remitting multiple sclerosis.
Study on the Interaction Mechanism Between Soybean Protein Isolates and Lemon Flavor: Isomerization and Degradation of Citral

By headspace solid-phase microextraction/gas chromatography–mass spectrometry, the effects of 1% (w/v) alcohol denatured soybean protein isolates (L-SPI), native soybean protein isolates (N-SPI), as well as the thermal denaturation of soybean protein isolates (H-SPI) on low concentration (24 μmol/L) of citral was studied in aqueous. The results shows that the SPI could catalyze citral isomerization and yield methyl heptenone and acetaldehyde by inverse aldol condensation degradation. 3-Hydroxycitronelloal was formed as an intermediate in this reaction. The catalytic efficiency of the L-SPI was higher than that of N-SPI, whereas the catalytic efficiency of H-SPI was the lowest. Additionally, it shows that the catalytic efficiency increased as the pH increased. The catalytic efficiency of 7S (Soybean β-Conglycinin) was greater than that of 11S (Soy bean Proglycinin).
Linguistic features and psychological states: A machine-learning based approach

Previous research mostly used simplistic measures and limited linguistic features (e.g., personal pronouns, absolutist words, and sentiment words) in a text to identify its author’s psychological states. In this study, we proposed using additional linguistic features, that is, sentiments polarities and emotions, to classify texts of various psychological states. A large dataset of forum posts including texts of anxiety, depression, suicide ideation, and normal states were experimented with machine-learning algorithms. The results showed that the proposed linguistic features with machine-learning algorithms, namely Support Vector Machine and Deep Learning achieved a high level of performance in the detection of psychological state. The study represents one of the first attempts that uses sentiment polarities and emotions to detect texts of psychological states, and the findings may contribute to our understanding of how accuracy may be enhanced in the detection of various psychological states. Significance and suggestions of the study are also offered.
Impairment of executive functions due to sleep alterations: An integrative review on the use of P300

Objective Cognitive impairment due to sleep deprivation (SD) is an important global health concern as part of the growing rates of sleep disorders and sleep deprivation worldwide. Amongst the affected cognitive processes, the effects of SD on the executive functions (EFs) show diverse methods and inconclusive or contradictory results, highlighting the importance of further research in this field. Considering this scenario, we evaluate one of the most used methods for objectively evaluating EFs on SD: the event-related potential (ERP) P300. Methods Our study provides a comprehensive review on the use of P300 for evaluating executive functions in sleep alterations on subjects of all ages, as well as an analysis on the efficiency of P300 as an assessment method for executive functions compared to traditional neurocognitive batteries. We review the benefits of P300 application for multiple sleep/wake alterations, whether evoked in laboratory or as part of pre-existing sleep disorders. Results We assess the diverse protocols used to elicit and complement P300, the most identified alterations in amplitude and latency, and suggest new lines of study that could benefit from P300 within the field. Conclusion We conclude that P300 is a valuable asset for evaluating executive dysfunction under sleep deprivation both as a standalone protocol and in conjunction with subjective methods, with consistently significant results in assessing executive dysfunction in a diversity of subjects and etiologies.
Enhancing epitope of PEDV spike protein

Porcine epidemic diarrhea virus (PEDV) is the causative agent of a highly contagious enteric disease of pigs characterized by diarrhea, vomiting, and severe dehydration. PEDV infects pigs of all ages, but neonatal pigs during the first week of life are highly susceptible; the mortality rates among newborn piglets may reach 80–100%. Thus, PEDV is regarded as one of the most devastating pig viruses that cause huge economic damage to pig industries worldwide. Vaccination of sows and gilts at the pre-fertilization or pre-farrowing stage is a good strategy for the protection of suckling piglets against PEDV through the acquisition of the lactating immunity. However, vaccination of the mother pigs for inducing a high level of virus-neutralizing antibodies is complicated with unstandardized immunization protocol and unreliable outcomes. Besides, the vaccine may also induce enhancing antibodies that promote virus entry and replication, so-called antibody-dependent enhancement (ADE), which aggravates the disease upon new virus exposure. Recognition of the virus epitope that induces the production of the enhancing antibodies is an existential necessity for safe and effective PEDV vaccine design. In this study, the enhancing epitope of the PEDV spike (S) protein was revealed for the first time, by using phage display technology and mouse monoclonal antibody (mAbG3) that bound to the PEDV S1 subunit of the S protein and enhanced PEDV entry into permissive Vero cells that lack Fc receptor. The phages displaying mAbG3-bound peptides derived from the phage library by panning with the mAbG3 matched with several regions in the S1-0 sub-domain of the PEDV S1 subunit, indicating that the epitope is discontinuous (conformational). The mAbG3-bound phage sequence also matched with a linear sequence of the S1-BCD sub-domains. Immunological assays verified the phage mimotope results. Although the molecular mechanism of ADE caused by the mAbG3 via binding to the newly identified S1 enhancing epitope awaits investigation, the data obtained from this study are helpful and useful in designing a safe and effective PEDV protein subunit/DNA vaccine devoid of the enhancing epitope.
DS-MENet for the classification of citrus disease

Affected by various environmental factors, citrus will frequently suffer from diseases during the growth process, which has brought huge obstacles to the development of agriculture. This paper proposes a new method for identifying and classifying citrus diseases. Firstly, this paper designs an image enhancement method based on the MSRCR algorithm and homomorphic filtering algorithm optimized by Laplacian (HFLF-MS) to highlight the disease characteristics of citrus. Secondly, we designed a new neural network DS-MENet based on the DenseNet-121 backbone structure. In DS-MENet, the regular convolution in Dense Block is replaced with depthwise separable convolution, which reduces the network parameters. The ReMish activation function is used to alleviate the neuron death problem caused by the ReLU function and improve the robustness of the model. To further enhance the attention to citrus disease information and the ability to extract feature information, a multi-channel fusion backbone enhancement method (MCF) was designed in this work to process Dense Block. We use the 10-fold cross-validation method to conduct experiments. The average classification accuracy of DS-MENet on the dataset after adding noise can reach 95.02%. This shows that the method has good performance and has certain feasibility for the classification of citrus diseases in real life.
A Framework for Automated Text Generation Benchmarking

Researchersinareassuchastranslationandsummarizationneedtocomparetheirresultstoawiderangeofpublishedbaselinesthatcommonlyusedifferentevaluationmethods.WeaimtoenableaneasycomparisonbypresentingTextGen-Benchmarch,anopen-sourcedtool 1 for streamlining the generation and evaluation of text. Text generation methods and evaluation metrics can easily be added to TextGen-Benchmarch, and its pipeline results in a more efficient comparison between methods as users can supply corpora, systems, and evaluation techniques and receive comparison reports in easy to analyze tabular and graphic formats.
Determinants of foreign direct investment in the African food and agriculture sector

In this paper, we analyze the determinants of Foreign Direct Investment (FDI) in the food and agriculture sector in Africa. Using a unique dataset on the investment projects in African countries between 2003 and 2017, we employ standard econometric analysis as well as spatial econometrics methods to investigate the main factors affecting the location of FDI in the sector and the underlying business models. Our results indicate that the investments are primarily driven by the potential that a domestic emerging consumer class represents, not only in a given destination, but also in neighbouring countries, suggesting that foreign investment in food and agriculture sector took form of regional trade platforms throughout most of the analysed period. Among other FDI determinants, we find that supply side factors, especially agricultural land, as well as physical infrastructure and institutional quality also play an important role. These findings, apart from giving evidence of how FDI is responsive to new markets and growing food demand, also suggest ways in which countries or regions can improve their attractiveness for investment.
Global CO 2 Consumption by Silicate Rock Chemical Weathering: Its Past and Future

Silicate rock weathering maintains a stable and long-term absorption of CO 2 . However, the magnitude, spatial pattern, and evolution characteristics of global silicate rock weathering carbon sink (SCS) remain unclear. To solve this problem, based on high-precision hydrometeorological data (1996–2017) and CMIP5 data (2041–2060), using the Celine model, we calculated the global silicate rock weathering carbon sink flux (SCSF) magnitude and spatio-temporal distribution for 1996–2017. We also predicted the SCSF under two future greenhouse gas emission scenarios (RCP 4.5 and RCP 8.5). Then, we produced a spatial data set (0.5 × 0.5) of global SCSF from 1996 to 2017 and found that the global average annual SCSF was 1.67 t/km 2 /yr, and the SCS was 127.11 Tg/yr. In particular, Brazil's silicate rock contribution accounts for nearly a quarter of the global SCS (24.41%). Although the GEM-CO 2 model is now widely used, the SCSF, without considering the temperature, may be overestimated by 5.4%, and the maximum contribution of temperature to it can reach 240 kg/km 2 /yr. Moreover, the global SCS is now showing a downward trend, but the global emission of greenhouse gases in the future (2041–2060) will continue to increase the carbon sink capacity (23.8%) due to temperature changes. In summary, we have produced a set of high-resolution spatiotemporal data of the past and the future. The above results fill up the large-scale data gap of SCSF and provide a scientific basis for quantitatively assessing the impact of climate change on SCS. suggest that
Major impact of body position on arterial stiffness indices derived from radial applanation tonometry in pregnant and non pregnant woman THESE

Objective: To evaluate the impact of body position on the arterial stiffness indices provided by radial applanation tonometry in pregnant and nonpregnant women. Methods: Twenty-four young women (18-30 years) in the third trimester of a normal pregnancy and 20 healthy nonpregnant women of the same age were enrolled. ln each, applanation tonometry was carried out in the sitting and supine position. The following stiffness indices were analyzed: systolic augmentation index (sAix), sAix adjusted for heart rate (sAix@75) and diastolic augmentation index (dAix), ail expressed in % of central aortic pulse pressure. Results: The sAix was apparently not influenced by body position, but the transition from seated to supine was associated with a substantial decrease in heart rate. When correcting for this confounder by calculating the sAix@75, systolic augmentation was substantially lower when individuals were supine (mean ± SD: nonpregnant 3.0± 14.4%, pregnant 8.8±9.7%) than when they were sitting (nonpregnant 5.7±13.0%, pregnant 11.1±83%, P= 0.005 supine vs. seated in both study groups, P> 0.2 for pregnant vs. nonpregnant). The influence of body position on the dAix went in the opposite direction (supine: nonpregnant 9.7±6.6%, pregnant 4.4±3.5%; seated: nonpregnant 7.7 ± 5.8%, pregnant 3.3 ± 2.4%, P < 0.00001 supine vs. seated in both study groups, P= 0.001 for pregnant vs. nonpregnant). Conclusion: Body position has a major impact on the pattern of central aortic pressure augmentation by reflected waves in healthy young women examined either during third trimester pregnancy or in the nonpregnant state. for the influence of heart rate; sT1 r,
RAS SF4 controls SOCE and ER–PM junctions through regulation of PI(4,5)P 2

we discovered that RAS SF4 regulates store-operated Ca 2+ entry (SOCE), a fundamental Ca 2+ signaling mechanism, by affecting the translocation of the endoplasmic reticulum (ER) Ca 2+ sensor stromal interaction molecule 1 (STIM1) to ER–plasma membrane (PM) junctions. It was further revealed that RAS SF4 regulates the formation of ER–PM junctions and the ER–PM tethering function of extended synaptotagmins E-Syt2 and E-Syt3. Moreover, steady-state PM phosphatidylinositol 4,5-bisphosphate (PI[4,5]P 2 ) levels, important for localization of STIM1 and E-Syts at ER–PM junctions, were reduced in RAS SF4 -knockdown cells. Furthermore, we demonstrated that RAS SF4 interacts with and regulates the activity of adenosine diphosphate ribosylation factor 6 (ARF6), a small G protein and upstream regulator of type I phosphatidylinositol phosphate kinases (PIP5Ks) and PM PI(4,5)P 2 levels. Over-all, our study suggests that RAS SF4 controls SOCE and ER–PM junctions through ARF6-dependent regulation of PM PI(4,5)P 2 levels, pivotal for a variety of physiological processes.
Edinburgh Explorer Haploinsufficiency of the murine Col3a1 locus causes aortic dissection

The vascular type of Ehlers–Danlos syndrome (EDS IV) is an autosomal-dominant disorder characterized by thin translucent skin and extensive bruising. Patients with EDS IV have reduced life expectancy (median 45–50 years) due to spontaneous rupture of arteries (particularly large arteries) or bowel. EDS IV results from mutation of the COL3A1 gene, which encodes the pro- a 1 chains of type III collagen that is secreted into the extracellular matrix, e.g. by smooth muscle cells. A mouse model of EDS IV produced by targeted ablation of Col3a1 has been of limited use as only 10% of homozygous animals survive to adulthood, whereas heterozygous animals do not die from arterial rupture. We report a novel, exploitable model of EDS IV in a spontaneously generated mouse line. aortic dissection in general. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Keywords
 Effect of management support and user participation on implementation of information systems success and undergraduate programs performance

-------------------------------------------------------- ABSTRACT ----------------------------------------------------------- This study was conducted in the Makassar city using of 202 undergraduate programs as a population, total sampling is used as a sampling technique. This study aims to examine the effect of management support and user participation on implementation of information systems success and undergraduate programs performance at private universities. The results of the analysis of Structural Equation Model with AMOS version 21 as a research equipment provides evidence that the management support and user participation has significant effect on Implementation of information systems success. Management support is not significant effect on the undergraduate programs performance. User participation and the implementation of information systems success have a significant effect on the undergraduate programs. Management support and user participation of information systems significant effect on the undergraduate programs as a mediated the implementation of information systems success
Evaluation of Vaginal Suppository Containing Lactiplantibacillus pentosus KCA1 for Treatment of Bacterial Vaginosis: Can Fourier Transform-Infrared (FT-IR) Spectroscopy be Used for Identification of Lactiplantibacillus pentosus KCA1? Development and Evaluation of Vaginal Suppository Containing

Background : Bacterial vaginosis is a major urogenital health problem for premenopausal women and the condition is misdiagnosed, mistreated and under-reported. Developing a user-friendly natural active product is more than ever needed. Objectives : The objectives of this study were to develop and evaluate vaginal suppositories containing Lactiplantibacillus pentosus KCA1 (Formally Lactobacillus pentosus KCA1) and to use FT-IR spectroscopy to identify the presence of L. pentosus KCA1. Methods : The vaginal suppository was developed using a glycerol-gelatin base. The prepared suppositories containing KCA1 were evaluated for viability and stability, and other physical properties. The in vitro release was done to determine the dissolution and the disintegration time of the suppositories. Fourier Transform-Infrared (FT-IR) spectroscopy was used to analyze Lactobacillus pentosus KCA1, formulated vaginal suppository containing Lactobacillus pentosus KCA1 and vaginal suppository glycerol-gelatin base without Lactobacillus pentosus KCA1, to reveal physical properties of KCA1 from the peak of the FT-IR spectra identified. Results : The result of the release study demonstrated that suppositories with glycerol-gelatin base releases Lactobacillus pentosus KCA1 faster and it was also found to be microbiological stable and viable after storage at 2-8 0 C over the period of 3 months. The result of the FT-IR spectroscopy revealed that Lactobacillus pentosus KCA1 was present in the formulation. Conclusion : The FT-IR result showed that L. pentosus KCA1 is most likely to be identified between 1318.953-713.2706 cm -1 of the spectral regions. The FT-IR result in this study will support the development of the BACTI-FTIR database, which will continuously be updated to offer a practical tool for identifying microorganisms.