Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of transcript levels of methylerythritol 4-phosphate (MEP), mevalonate ( MVA) shikimate in

41 Plumeria ( Plumeria rubra ) , well-known for its brightly colored and fragrant flowers, emits a 42 number of floral volatile organic compounds (VOCs). Plumeria flowers emit a total of 43 43 VOCs including nine phenylpropanoids/benzenoids, such as 2-phenylethanol (2PE), 44 benzaldehyde, 2-phenylacetaldehyde (PAld), ( E/Z ) - phenylacetaldoxime (PAOx), benzyl nitrile 45 (BN), and 2-phenylnitroethane (PN). To identify genes and pathways involved in the 46 production of the major compound 2PE, we analyzed the plumeria floral transcriptome and 47 found a highly expressed, flower-specific gene encoding a cytochrome P450 (CYP450) family 48 79D protein (PrCYP79D73), which catalyzed the formation of ( E/Z )-PAOx. Feeding 49 experiments with deuterated phenylalanine ( d 5 -Phe) or d 5 - ( E/Z )-PAOx showed that ( E/Z )- 50 PAOx is an intermediate in the biosynthesis of 2PE, as are two nitrogen (N)-containing 51 volatiles, BN and PN, in plumeria flowers. Crude enzyme extracts from plumeria flowers 52 converted L-Phe to ( E/Z )-PAOx, PAld, 2PE, BN, and PN. The biosynthesis of these 53 compounds increased with addition of PrCYP79D73-enriched microsomes but was blocked by 54 pretreatment with 4-phenylimidazole, an inhibitor of CYP450 enzymes. Moreover, 55 overexpression of PrCYP79D73 in Nicotiana benthamiana resulted in the emission of ( E/Z )- 56 PAOx as well as PAld, 2PE, BN, and PN, all of which were also found among plumeria floral 57 VOCs. Taken together, our results demonstrate that PrCYP79D73 is a crucial player in the 58 biosynthesis of the major floral VOC 2PE and other N-containing identification of genes related to floral VOC pathways in plumeria. Most importantly, we identified a flower-specific CYP450 enzyme, PrCYP79D73, that catalyzes the formation of PAOx. The latter further converted not only into PAld and 2PE, but also into N-containing BN 141 and PN in plumeria flowers. Our results show that, unlike rose and petunia, plumeria uses 142 PrCYP79D73 for the production of 2PE. These results uncover a pathway involving the 143 production of 2PE by CYP450. nucleotide phenylimidazole and L- Phe (FE+4PI). Results represent the mean ± standard error of two technical repetitions and three biological replicates. The Student’s t- test was used to calculate the significant differences of FE+PrCYP79D73 and FE+4PI as compared with FE. P <0.05; plants synthase is a bifunctional homotetrameric enzyme catalyzes phenylalanine decarboxylation oxidation.
Effect of Domestic Consumption on GDP of Pakistan from 1981-2014

: The purpose of the study was to study the impact of domestic consumption (electricity consumption, food, and natural gas) on the Economic Growth of Pakistan. Time series data is used for analysis from 1981 to 2014 taken from the World Governance Indicators Index. Pakistan's GDP is used as a dependent variable and household consumption includes consumption of electricity, food, and natural gas used as independent variables. Multiple regression analysis is used to determine the relationship between different variables. The OLS method is used in study analysis. After checking stationarity and applying the OLS technique, we found that there is a negative correlation between electricity consumption and economic growth. The results of the study revealed that the different consumption patterns of consumers negatively impact the economic growth of the country so the study suggests that there should be power-saving techniques that only can improve the natural resources and conserve resources. The study also found that the impact of independent variable has a positive impact on economic growth and insignificant results of food consumption show that households may spend less on food consumption when their disposable income is less and they increase their consumption whenever income increases which affect the economy mostly. As collected data shows that the consumption patterns change every year and upsurge, so the economic production grows and impacts positively. The third independent variable is natural gas consumption that is also shown a positive and significant impact on the economy of Pakistan.
Preliminary design of the green diesel production process by hydrotreatment of vegetable oils

In this work, a conceptual design is presented of a HVO/green diesel production unit with a processing capacity of 74 ton/h (500 000 ton/year) of vegetable oils and a production rate of 59 ton/h of diesel. Firstly, an extensive literature review has been conducted regarding the state-of-the-art techniques as well as process equipment, mechanisms of reaction and thermodynamical properties. A market analysis is also presented which estimates feedstock availability and target production rate. With this information, a preliminary Process Flow Diagram is proposed, along with explanations on the type of equipment used and its operating conditions. Process design and simulation has been performed using Aspen Plus®, while Aspen Custom Modeler® has been used to develop more accurate models where necessary. The present study concludes with an analysis of process ﬂexibility, considerations for heat integration and an economic assessment.
1 Post-obturation pain and its relationship with reference time and other risk factors

Objective: To evaluate incidence and intensity of postoperative pain in patients treated in the Residency Program in Endodontics at the State University of Maringá. The influence of factors inherent to the patient and treatment on preoperative pain was also the focus of our study. Material and Methods: 99 patients participated in this study and underwent non-surgical endodontic treatment. Initially, palpation, vertical and horizontal percussion were performed on the tooth to be treated. After the root canals filling, patients received a printed Numerical Rating Scale and were instructed to record the level of pain in the postoperative periods of 24, 48 and 72 hours. For each postoperative period, the patient recorded the values. A descriptive analysis of the data and a model of generalized estimation equations were performed to verify the relationship between the variables and postoperative pain, at a significance level of 5%. Results: During the follow-up period, the pain rates found were low represented by 16%, 11% and 7% in the periods of 24, 48, and 72h, respectively. In addition, the rates significantly decreased after 72h. Only one case of flare-up was recorded. Presence of pain on palpation, use of reciprocating file and use of 2.5% sodium hypochlorite influenced the results (p<0.05), increasing the changes of post-operative pain by 3.36, 0.4 and 0.2 times, respectively. Conclusion: Incidence and intensity of postoperative pain monitored in the residency program reduced significantly after 72 hours. Postoperative pain was associated with pain on palpation, use of reciprocating files and irrigation with 2.5% hypochlorite.
Attention Mechanism in Computer Vision: Current Status and Prospect

As the key component in Transformer models, attention mechanism has shown its great power in learning feature relations even under long ranges in the natural language processing domain. Its success has also inspired researchers to apply it for computer vision tasks in recent years. In a variety of visual benchmarks, transformer-based models perform similar to or better than other types of neural networks such as convolutional and recurrent networks. In this report, we review the current status of the application of attention mechanism in computer vision tasks. In addition to categorizing the attention-based methods, since most current works are done with 2D image input and only a few focus on 3D data, we also propose research ideas in which attention mechanism is used for 3D data.
Two-level infinite mixture for multi-domain data

The combined, unsupervised analysis of coupled data sources is an open problem in machine learning. A particularly important example from the biological domain is the analysis of mRNA and protein profiles derived from the same set of genes (either over time or under different conditions). Such analysis has the potential to provide a far more comprehensive picture of the mechanisms of transcription and translation than the individual analysis of the separate data sets.
Biofabrication of magnetic nanoparticles and their use as carriers for pectinase and xylanase

In this study, superparamagnetic iron oxide nanoparticles (MNPs) were synthesized via exposure of fungal cell filtrate from Aspergillus flavus to aqueous iron ions. The extracellular synthesis of MNPs was monitored by UV–Vis spectrophotometry and showed an absorption peak at 310 nm. The morphology of MNPs was found to be flake-like, as confirmed by Field Emission Scanning Electron Microscopy (FESEM), while the average crystallite size was ~16 nm, as determined by Xray diffraction (XRD). Energy dispersive X-ray (EDX) analysis was performed to confirm the presence of elemental Fe in the sample. Pectinase and xylanase were covalently immobilized on MNPs with efficiencies of ~84% and 77%, respectively. Compared to the free enzymes, the immobilized enzymes were found to exhibit enhanced tolerance to variation of pH and temperature and demonstrated improved storage stability. Furthermore, the residual activity of the immobilized enzymes was about 56% for pectinase and 52% for xylanase, after four and three consecutive use cycles, respectively.
Exploring the Role of Mindfulness on Psychological Well-Being Among College Students

More college students are experiencing stress that negatively affects their psychological wellbeing. Many universities are reporting that more students are seeking mental health services related to stress (Miller, Elder, & Scavone, 2017). The intent of this thesis is to extend the previous research findings by specifically investigating the role of mindfulness on psychological well-being of college students. Participants were asked to complete a self-administered online survey consisting of the mindful attention awareness scale (MAAS) that measures the frequency of mindfulness state, the Psychological well-being scale (PWB) that measures six aspects of wellbeing and happiness, and the generalized self-efficacy scale (GSES). The survey included a section on demographic information such as gender, age, race/ethnicity, and family income. Data were analyzed using the Statistical Package for the Social Sciences (SPSS) and consisted of a series of correlational and multiple regression analyses. We found that mindfulness positively correlated with psychological well-being. Furthermore, we found the mindfulness and selfefficacy significantly predicted the level of psychological well-being The findings of this study can inform college administrators in the development of more targeted intervention programs that may be utilized for the stability of students psychological wellbeing.
PEIJ_PIEJ DB: A Putative Database for Intron Retention

Unlike exon skipping, intron retention is another type of important mechanism of alternative splicing in higher eukaryotes. Although high throughput tandem (MS/MS) mass spectrometry provides extensive information for rapidly identifying potentially novel alternatively-spliced protein products from experimental datasets, the possibility to identify alternative splicing events through tandem mass spectrometry relies on the database with which the spectra will be searched. In this research, the previous putative exon-exon junction database (PEEJ DB) aimed at and speci�ed for putative exon skipping events in all kinds of alternative splicing studies is extended and a theoretical exon-intron junction and putative intron-exon junction database (PEIJ_PIEJ DB) to account for all possible exon-intron (or intron-exon) combinations and all possible intron internal retention events for every gene in the human genome from the EnsEMBL core database has been built up.Application of the constructed PEIJ_PIEJ DB to non-ETS gene fusion sequences in human prostate cancer RNA-Seq data demonstrates the putative exon-intron junction and putative intron-exon junction database (PEIJ_PIEJ DB) can identify intron retentions with reliable con�dence in the non-ETS gene fusion sequences, suggesting that this putative database is helpful for scienti�c researchers in alternative splicing studies involving intron retention events from high-throughput experimental datasets such as proteomics datasets and next generation sequencing ones. The sourcecode implementing the database is freely available at https://sourceforge.net/projects/peij-piej.
Knowledge, Attitudes, and Opinions of Health Professionals and Students on Traditional and Complementary Medicine Practices in Turkey: A Systematic Review and Meta-Analysis

and Students and Practices A Systematic ABSTRACT Objective: To perform a systematic compilation and meta-analysis of research on the knowledge, attitudes, and opinions of health professionals and students on traditional and complementary medicine (TCM) practices in Turkey. Methods: This study is a systematic review and meta-analysis study. The literature review on the subject of the research was carried out between February 25 and March 8, 2022. A search was made on Google Scholar in Turkish and English with appropriate keywords for 2000 and later. Results: A total of 43 studies were identified that met the acceptance criteria. The first three lines of TCM implementations used are, as follows: (i) massage, (ii) herbal therapy, and (iii) acupuncture. The first three lines for the most well-known TCM implementations are, as follows: (i) acupuncture, (ii) herbal therapy, and (iii) massage. The prevalence of the opinion as “ TCM should be included in the curriculum of medical and health schools ” ranged from 36.7% to 90.4%. The prevalence of the opinion of “ It should be applied by evaluating their effectiveness with controlled studies ” was between 34.4% and 95.7%. The prevalence of meta-analysis for training on TCM was found to be 21% (95% CI: 14%-29%). The meta-analysis prevalence of participants using any TCM implementation was 45% (95% CI: 37%-54%). The meta-analysis prevalence of knowing TCM implementations was found to be 66% (95% CI: 56%-75%). Conclusion: There is increasing interest in TCM and concerns remain due to the lack of evidence-based studies. The frequency of negative thinking in physicians is higher than that of other healthcare personnel. However, in general, positive opinions about TCM were found to be dominant over negative opinions. The demand for TCM training and including TCM in school curricula is striking.
ACADEMY OF STRATEGIC AND ORGANIZATIONAL LEADERSHIP JOURNAL

This field study examines the performance implications of CEO succession plans and compensation perceptions in a sample of single-business manufacturing firms. Zajac (1990) tested these relationships in his "CEO-issues model of firm performance" using a sample of the largest U.S. corporations. Our study replicates Zajac's (1990) earlier work, but uses a sample of CEOs who head smaller, single-business manufacturing firms. Our results indicate that smaller-firm CEOs who perceive a connection between their firm's wealth and their own reputation are associated with higher-performing firms.
Forward and Inverse Uncertainty Quantification in Cardiac Mechanics

Ever since the publication of the seminal white paper by Mirams et al. [1], the cardio-physiological modelling community has appreciated the importance of allowing for variability and uncertainty in their computational and mathematical models. In the present study, we distinguish between forward and inverse uncertainty quantification (UQ). Forward uncertainty quantification (F-UQ) focuses on structural identifiability, i.e. whether parameters are unidentifiable as a result of the model structure per se. This is closely related to sensitivity analysis (SA), and the aim is to establish how uncertainties in model inputs (such as parameters) affect the model output. Since structural identifiability is an intrinsic feature of the model, the analysis is a priori in nature, meaning that it can be carried out based on the model alone, without need for any measurements or experimental data. Inverse uncertainty quantification (I-UQ) focuses on practical identifiability. When parameters are unidentifiable as a result of practical restrictions related to limited availability and quality of data, they are referred to as practically unidentifiable. I-UQ is therefore a posteriori in nature, meaning conditionally dependent on experimental data. In the present study, we have applied both paradigms to the growing field of cardiac mechanics, more specifically to the Holzapfel-Ogden model of the passive myocardium [2]. This model depends on eight constitutive parameters, which provide important pathophysiological insights for clinical applications [3], but which cannot be measured non-invasively. State-of-the-art methods therefore try to infer these parameters using magnetic resonance imaging (MRI), based on a measure of discrepancy between strains extracted from the images and those predicted
PERMEABILITY OF WIRE-NET POROUS MEDIA DETERMINED BY A SIMPLE DARCY-FORCHHEIMER EQUATION

: The permeability (K) of porous media is the most significant parameter for describing the fluid flow mechanism within porous matrix. A simple experiment to investigate the K of wire-net porous media based on Darcy – Forchheimer principle is proposed. The stainless ASUS304 with four PPIs (Pores per inch), i.e., PPI = 4, 8, 10 and 12, are examined and reported in the form of porosity (  ) yielding as 0.943, 0.898, 0.822 and 0.794 respectively. Five thicknesses (H) consisting of 1.2, 2.4, 3.6, 4.8 and 6.0 mm, are tested. Regarding to the Darcy – Forchheimer method, the equation of relation between pressure drop (  P) and velocity (u) is in the 2 nd polynomial form:  P = au+bu 2 . To simplify this equation, the linear form is discussed:  P = a+bu. The  P as measured by U-tube manometer is conducted in varying the velocity (u) from 0.225 m/s to 1.578 m/s. From the experiment, it is found that the value of K is depended on  (PPI) and H. Thus, the equation of K estimated by multi-regression method can be reported by K =(89.401  - 66.412)/H x 10 -7 which determination coefficient (R 2 ) has 0.889. To validate the present regression, three available models consisting of Kozeny-Carman correlation, Gebart equation and a nonlinear equation of Koponen are compared. Good agreement is obtained in comparison. Therefore, it can be said that the present regression form is highly believable and it is easily used.
Quinoa in Egypt - Plant Density Effects on Seed Yield and Nutritional Quality in Marginal Regions

Grain quinoa is a halophyte crop with potentially increasing cultivation area. Yet, no standards exist for optimum plant density in arid-regions. The aim of this work was to evaluate the effect of planting density on Peruvian valley type of Chenopodium quinoa Willd. cv. CICA from the standpoint of yield and seed quality in marginal area. Two Field experiments were conducted over two consecutive seasons viz., 2015-2016 in a marginal land at El-Fayoum oasis, Egypt with one quinoa cultivar and two planting densities namely, 56.000 plant ha -1 (Low) and 167.000 plant ha -1 (High). A complete randomized block design with six replicates was used. Seed yield increased by 34.7% with increase of plant density from 56.000 plant ha -1 to 167.000 plant ha -1 . The increase of plant density significantly decreased weight of 1000-seeds and weight of hectoliter. Protein and ash concentrations in seeds increased at low planting density, whereas carbohydrate concentration decreased. However, there were no significant differences between the two planting densities on the seed concentration of the crude fiber or total fat. Regarding effects of plant density on mineral content in quinoa seeds, the calcium and magnesium contents significantly increased at low density compared with high planting density. Meanwhile, no significant effects of plant density on phosphorus, potassium, iron and zinc content in quinoa seeds were detected. Thus, the present study concludes that the plant density that gives higher seed yield is associated with significant reduction in seed quality in terms of protein content. On the other hand, low plant density significantly increased weight of 1000-seeds and hectoliter, which is reflected on the grain size. The latter is considered as a very important parameter for quinoa global market preference.
Plectin promotes melanoma tumor formation by regulation of Rous sarcoma oncogene activity

Kana Mizuta Kyushu Dental University Takuma Matsubara (  r15matsubara@fa.kyu-dent.ac.jp ) Kyushu Dental University Akino Goto Kyushu Dental University William N. Addison Kyushu Dental University Mitsushiro Nakatomi University of Occupational and Environmental Health Kou Matsuo Kyushu Dental University Yukiyo Tada-Shigeyama Kyushu Dental University Hiromi Honda Kyushu Dental University Izumi Yoshioka Kyushu Dental University Shoichiro Kokabu Kyushu Dental University
Human Ebp 1 rescues the synthetic lethal growth of fission yeast cells lacking Cdb 4 10 and Nup 184 11 12 13 14

33 Cdb4 is a protein with unknown functions that binds to curved DNA in vitro in the fission yeast Schizosaccharomyces pombe . Homologues of Cdb4 were identified in a 35 wide range of eukaryotes, including human Ebp1. Both S. pombe Cdb4 and human 36 Ebp1 are nonpeptidase members of the methionine aminopeptidase family. It has been 37 reported that Ebp1 homologues are involved in cell growth regulation and 38 differentiation. However, opposing functions have also been considered and debated 39 upon, and the precise biological functions of this conserved protein are largely unknown. 40 S. pombe cdb4 is a nonessential gene, and no obvious phenotypes have been detected in 41 cells with cdb4 gene deletion. In this study, we identified nup184 , encoding a 42 component of the nuclear pore complex, as a gene responsible for the synthetic lethal 43 phenotype associated with cdb4 . Furthermore, the synthetic lethal phenotype of Cdb4 was suppressed by overexpression of human Ebp1, suggesting that it has conserved crucial functions in S. pombe Cdb4 and human Ebp1. This synthetic lethal phenotype 46 associated with Cdb4 and Nup184 provides a molecular genetics tool to study the functions of S. pombe Cdb4 and its conserved members of proteins, including human Ebp1. Second-step PCR amplifying
A State Transition Based Cache Side Channel Attack Model

Over the last decades, the Cache Side Channel Attack (CSCA) seriously threatens the security of user information, which repeatedly highlights the security of cache. Even though the secure cache design can mitigate or defend against this attack, the high design period and tap-out cost reduce the development of the specific designs. Therefore, many researchers focus on proposing a secure cache model to analyse the CSCA and simplify the secure design. Nowadays, the cache model can be divided into 1) Indicator analysis model; 2) Cache verify model; 3) Cache abstract model. However, most of these models focus on the establishment phase of CSCA, regardless of the usage phase of CSCA. On the other hand, the granularity of the cache model is either the entire cache or a single cache line, which can’t describe the cache behaviour in CSCA clearly. To overcome these limitations, we proposed a novel cache model based on state transition and gave a formal specification of CSCA by this model in this work. Firstly, we summarize 11 basic states of the cache set and point to the target state in the process of CSCA. Then we describe the CSCA from three aspects: pre-attack cost, state transition cost, and detection accuracy, which gives a more comprehensive analysis of CSCA.