Miracle-dz/UniFAR-FTUs huggingface dataset:
The Functional Characterization of DzCYP72A12-4 Related to Diosgenin Biosynthesis and Drought Adaptability in Dioscorea zingiberensis

Dioscorea zingiberensis is a perennial herb famous for the production of diosgenin, which is a valuable initial material for the industrial synthesis of steroid drugs. Sterol C26-hydroxylases, such as TfCYP72A616 and PpCYP72A613, play an important role in the diosgenin biosynthesis pathway. In the present study, a novel gene, DzCYP72A12-4, was identified as C26-hydroxylase and was found to be involved in diosgenin biosynthesis, for the first time in D. zingiberensis, using comprehensive methods. Then, the diosgenin heterogenous biosynthesis pathway starting from cholesterol was created in stable transgenic tobacco (Nicotiana tabacum L.) harboring DzCYP90B71(QPZ88854), DzCYP90G6(QPZ88855) and DzCYP72A12-4. Meanwhile, diosgenin was detected in the transgenic tobacco using an ultra-performance liquid chromatography system (Vanquish UPLC 689, Thermo Fisher Scientific, Bremen, Germany) tandem MS (Q Exactive Hybrid Quadrupole-Orbitrap Mass Spectrometer, Thermo Fisher Scientific, Bremen, Germany). Further RT-qPCR analysis showed that DzCYP72A12-4 was highly expressed in both rhizomes and leaves and was upregulated under 15% polyethylene glycol (PEG) treatment, indicating that DzCYP72A12-4 may be related to drought resistance. In addition, the germination rate of the diosgenin-producing tobacco seeds was higher than that of the negative controls under 15% PEG pressure. In addition, the concentration of malonaldehyde (MDA) was lower in the diosgenin-producing tobacco seedlings than those of the control, indicating higher drought adaptability. The results of this study provide valuable information for further research on diosgenin biosynthesis in D. zingiberensis and its functions related to drought adaptability.
Density functional theory modeling of critical properties of perovskite oxides for water splitting applications

Water splitting (WS) driven by solar energy is considered as a promising strategy to produce renewable hydrogen from water with minimal environmental impact. Realization of large‐scale hydrogen production by this approach requires cost‐effective, efficient and stable materials to drive the WS reaction. Perovskite oxides have recently attracted widespread attention in WS applications due to their unique structural features, such as compositional and structural flexibility allowing them to achieve desired sunlight absorption capability, precise control of electrocatalytic and redox activity to drive the chemical reaction, tuneable bandgaps and band edges, and earth‐abundance. However, perovskite oxides contain a large family of metal oxides and experimental exploration of novel perovskites without a priori knowledge of their properties could be costly and time‐consuming. First‐principles approaches such as density functional theory (DFT) are a useful and cost‐effective alternative towards this end. In this review, DFT‐based calculations for accurate prediction of the critical properties of ABO3 perovskite oxides relevant to WS processes are surveyed. Structural, electronic, optical, surface, and thermal properties are grouped according to their relevance to photocatalytic (PC), electrochemical (EC), photo‐electrochemical (PEC), and solar thermal water splitting (STWS) processes. The challenges associated with the choice of exchange‐correlation (XC) functional in DFT methods for precise prediction of these properties are discussed and specific XC functionals have been recommended where experimental comparisons are possible.
Factors Affecting the Adoption of Online Database Systems for Learning among Students at Economics Universities in Vietnam

This study aims to evaluate the determinants that influence the adoption of online databases in the learning process of students at economics universities in Vietnam. A quantitative study with a meta-analysis was conducted by utilizing structural equation modeling (SEM). The sample consisted of 492 students from economics universities located in Vietnam who were surveyed using stratified random sampling. The results indicate that the adoption of online databases in student learning is influenced by six determinants, namely: (i) perceived effectiveness, (ii) perceived ease of use, (iii) technical barriers, (iv) personal usefulness, (v) usage attitudes, and (vi) convenience. Our study has revealed that students’ intention to use the online database system is positively influenced by their perceived ease of use and perceived usefulness. These findings could be valuable in shaping policies for enhancing the online database system at economics universities, taking into account the students’ characteristics and the institution’s needs.
Circulating miRNA-192 and miR-29a as Disease Progression Biomarkers in Hepatitis C Patients with a Prevalence of HCV Genotype 3

MicroRNAs miR-29a and miR-192 are involved in inflammatory and fibrotic processes of chronic liver disease, and circulating miR-29a is suggested to diagnose fibrosis progression due to hepatitis C virus (HCV) infection. This study aimed to evaluate the expression profile of circulating miR-192 and 29a in a patient cohort with a high frequency of HCV genotype-3. A total of 222 HCV blood samples were collected and serum were separated. Patients were classified into mild, moderate, and severe liver injury based on their Child–Turcotte–Pugh CTP score. RNA was isolated from the serum and used for quantitative real-time PCR. The HCV genotype-3 (62%) was the predominant HCV genotype. In HCV patients, the serum miR-192 and miR-29a levels were significantly upregulated in comparison to healthy controls (p = 0.0017 and p = 0.0001, respectively). The progression rate of miR-192 and 29a in the patient group with mild was highly upregulated compared to patients with moderate and severe hepatitis infection. The ROC curve of miR-192 and miR-29a of moderate liver disease had a significant diagnostic performance compared to the other HCV-infected groups. The increase in miR-29a and miR-192 serum levels was even slightly higher in patients with HCV genotype-3 than in non-genotype-3 patients. In conclusion, serum miR-192 and miR-29a levels significantly increased during the progression of chronic HCV infection. The marked upregulation in patients with HCV genotype-3 suggests them as potential biomarkers for hepatic disease, independently of the HCV genotype.
Interpretable Convolutional Neural Networks for Preterm Birth Classification

The use of convolutional neural networks (CNNs) for classification tasks has become dominant in various medical imaging applications. At the same time, recent advances in interpretable machine learning techniques have shown great potential in explaining classifiers' decisions. Layer-wise relevance propagation (LRP) has been introduced as one of these novel methods that aim to provide visual interpretation for the network's decisions. In this work we propose the application of 3D CNNs with LRP for the first time for neonatal T2-weighted magnetic resonance imaging (MRI) data analysis. Through LRP, the decisions of our trained classifier are transformed into heatmaps indicating each voxel's relevance for the outcome of the decision. Our resulting LRP heatmaps reveal anatomically plausible features in distinguishing preterm neonates from term ones.
Adults in Northwest China experienced the largest outbreak of Japanese encephalitis in history 10 years after the Japanese encephalitis vaccine was included in the national immunization program: A retrospective epidemiological study

Mainland China included Japanese encephalitis (JE) vaccine in the national immunization program in 2008 to control the JE epidemic. However, Gansu province in Western China experienced the largest JE outbreak since 1958 in 2018. We conducted a retrospective epidemiological study to explore the causes of this outbreak. We found that adults aged ≥20 years (especially those in rural areas) were the main JE cases in Gansu Province, with a significant increase in the JE incidence in older adults aged ≥60 years in 2017 and 2018. In addition, JE outbreaks in Gansu Province were mainly located in the southeastern region, while the temperature and precipitation in Gansu Province were gradually increasing in recent years, which made the JE epidemic areas in Gansu Province gradually spread to the western of Gansu Province. We also found that adults aged ≥20 years in Gansu Province had lower JE antibody positivity than children and infants, and the antibody positivity rate decreased with age. In the summer of 2017 and 2018, the density of mosquitoes (mainly the Culex tritaeniorhynchus) in Gansu Province was significantly higher than in other years, and the genotype of JEV was mainly Genotype‐G1. Therefore, in the future JE control in Gansu Province, we need to strengthen JE vaccination for adults. Moreover, strengthening mosquito surveillance can provide early warning of JE outbreaks and the spread of epidemic areas in Gansu Province. At the same time, strengthening JE antibody surveillance is also necessary for JE control.
Antibiotic Resistance in Probiotic Microorganisms

Probiotics are widely used in different forms of food or food supplements due to their health benefits. Probiotics consumption has seen an increase over the years. The main species used in probiotic products are Lactobacillus and Bifidobacterium, along with other species such as Bacillus. Generally, probiotic microorganisms are accepted as safe even though they are resistant to several antibiotics. Some probiotic strains with intrinsic antibiotic resistance may be beneficial in regenerating gut microbiota during antibiotic therapy. However, the antibiotic resistance genes identified in probiotic microorganisms may carry the risk of the transfer of resistance genes to pathogens, raising concerns. For instance, tetracycline resistance genes have often been detected in probiotic organisms Bifidobacterium and Lactobacillus. The antibiotic resistance genes carried on mobile genetic elements create reservoirs for pathogen resistance. This transfer of resistant genes to opportunistic pathogens and their spread may pose great danger. Hence, the purpose of this review was to assess the presence of antibiotic resistance in probiotic microorganisms and the potential transfer of the resistant genes to pathogens or commensal bacteria in the intestine.
Blow-up criteria and instability of standing waves for the fractional Schrodinger Poisson equation

In this article, we consider blow-up criteria and instability of standing waves for the fractional Schrodinger-Poisson equation. By using the localized virial estimates, we establish the blow-up criteria for non-radial solutions in both mass-critical and mass-supercritical cases. Based on these blow-up criteria and three variational characterizations of the ground state, we prove that the standing waves are strongly unstable. These obtained results extend the corresponding ones presented in the literature.
Flight Delay Regression Prediction Model Based on Att-Conv-LSTM

Accurate prediction results can provide an excellent reference value for the prevention of large-scale flight delays. Most of the currently available regression prediction algorithms use a single time series network to extract features, with less consideration of the spatial dimensional information contained in the data. Aiming at the above problem, a flight delay prediction method based on Att-Conv-LSTM is proposed. First, in order to fully extract both temporal and spatial information contained in the dataset, the long short-term memory network is used for getting time characteristics, and a convolutional neural network is adopted for obtaining spatial features. Then, the attention mechanism module is added to improve the iteration efficiency of the network. Experimental results show that the prediction error of the Conv-LSTM model is reduced by 11.41 percent compared with the single LSTM, and the prediction error of the Att-Conv-LSTM model is reduced by 10.83 percent compared with the Conv-LSTM. It is proven that considering spatio-temporal characteristics can obtain more accurate prediction results in the flight delay problem, and the attention mechanism module can also effectively improve the model performance.
Awareness of Women Towards Risk Factors, Screening Practices and Preventive Behaviors of Cervical Cancer

Background: Cervical cancer is the third most common disease in women worldwide and is a type of cancer that develops in the cells of the cervix. Aim of the study : was to assess awareness of women towards risk factors, screening practices and preventive behaviors of cervical cancer. Subjects and Method: Research design : Descriptive design was adopted to carry out this study. Setting : The study was conducted at gynecological outpatient clinic at the Zagazig University Hospital. Subjects : Purposive sample of 263 women were recruited in this study. Tools of data collection : Two tools were used for data collection. Toll I : A structured interviewing questionnaire and Toll II : African Women's awareness assessment tool about cervical cancer. Results : It was indicated that, almost one third of studied women had good awareness level towards risk factors & screening practices of cervical cancer, while almost one fourth of them had good awareness regarding preventive measures and treatment of cervical cancer. Additionally, it reflected a positive a highly significant relation between level of education, occupation, residence and awareness of cervical cancer. Also, there was a highly significant positive correlation between cervical cancer awareness and its domains. Moreover; the highest percent of studied women who had good awareness were university educated, working and from urban areas. It was observed that occupation, educational level and residence had highly significant positive effect on awareness level regarding cervical cancer. Conclusion : On the light of the results of the current study it was concluded that; there was a poor total score of women awareness regarding risk factors, screening practices and preventive behaviors of cervical cancer. Recommendations : Health-education programs that incorporate the media through diverse channels should be implemented to increase women’s awareness regarding cervical cancer.
Hallyu Versus Javanese Culture Among Youth in The City of Kediri: A Gender Perspective

One of the most massive cultural effects of globalization is the emergence of a global culture that has become a worldwide trend, such as Westernization. As a global culture, Westernization gained competitors, which was marked by the rise of Hallyu, which may be described as the Asian version of Westernization. This study aims to describe Hallyu versus Indonesian local (Javanese) culture among the people of the city of Kediri by using a mixed method. According to the study, Hallyu has begun to transform the status of Javanese culture as a global culture in the city of Kediri, as indicated by the increased interest of young people in the city of Kediri in symbols of Korean culture such as music, food, fashion, makeup, and even language. Hallyu can influence people and their attitudes. Women, for example, prefer to follow the flow of Hallyu more than men.
In-Situ Growth of ZnO Whiskers on Ti2ZnC MAX Phases

ZnO whiskers have many applications, such as in medical and photocatalysis fields. In this study, an unconventional preparation approach is reported, realizing the in-situ growth of ZnO whiskers on Ti2ZnC. The weak bonding between the layer of Ti6C-octahedron and the Zn-atom layers leads to the easy extraction of Zn atoms from Ti2ZnC lattice points, resulting in the formation of ZnO whiskers on the Ti2ZnC surface. This is the first time that ZnO whiskers have been found to grow in-situ on Ti2ZnC substrate. Further, this phenomenon is amplified when the size of the Ti2ZnC grains is mechanically reduced by ball-milling, which bodes a promising route to prepare ZnO in-situ on a large scale. Additionally, this finding can also help us better understand the stability of Ti2ZnC and the whiskering mechanism of MAX phases.
Impulsivity and Alcohol-Drinking Behavior: Evidence from Japan

Despite the attempt by the Japanese government to reduce alcohol consumption, reduction of alcohol consumption requires improvement. We explore this issue from the impulsivity perspective and investigate whether a causal relationship exists between impulsivity and drinking behavior. We used data from the Preference Parameter Study of Osaka University to capture respondents’ drinking status. Our probit regression showed that procrastination, a proxy measure of impulsivity, was significantly associated with drinking behavior, while hyperbolic discounting, a direct measure of impulsivity, was insignificant. Our findings suggest that impulsive people will discount their health in the future; thus, the government should consider impulsivity in policymaking. For example, awareness programs should focus more on future healthcare costs from alcohol-related problems so that impulsive drinkers can understand how much they may need to spend in the future compared to current satisfaction with alcohol drinking.
“Whatever you do, I can do too”: Disentangling the daily relations between exposure to positive social media content, can self, and pressure

ABSTRACT The current 14-day diary study among 186 adolescents (56.1% boys; M age = 15.62 years) examined how daily exposure to positive social media content (i.e., portrayals of individuals’ best possible selves) relates to their daily well-being. The results suggest that exposure to uncommon positive content (i.e., vacations and relationships) positively relates to adolescents’ beliefs about their potential to have a similar, successful lifestyle (i.e., “can self”). Such beliefs seem to turn into pressure to improve on days when adolescents feel that they are not as successful as they believe they should be (i.e., feelings of discrepancy). In conclusion, confident adolescents remain positive when they perceive such content as within reach, yet experience pressure when they perceive themselves as falling behind.
Vibrational properties of glasses at the transition from microscopic to macroscopic regime

One of the most challenging issue in condensed matter physics concerns the understanding of the vibrational properties of glasses. In particular, an anomaly present in the vibrational density of states (VDOS) at energies of few meV has attracted much interest due to its universal occurrence in glasses. This anomaly, called ”boson peak” (BP), appears as a peak in the reduced VDOS over the Debye, elastic continuum prediction in an energy range where the Debye model still works reasonably well for the corresponding crystals. In this PhD work we present the results of an experimental study of the vibrational dynamics in glassy sorbitol and sulfur by means of inelastic scattering of light, x-ray and neutron. In the case of sorbitol, these results show that the boson peak is clearly related to anomalies observed in the acoustic dispersion curve in the mesoscopic wavenumber range of few nm−1. Moreover, the study of the temperature dependence of these properties shows that this connection is kept under temperature changes. Finally, the behavior of the high frequency modes can be used to quantitatively account for the BP, suggesting a strong connection between acoustic properties in the mesoscopic range and boson peak. This behavior seems to be universal in glasses. In the case of glassy sulfur the BP is located at energies outside the window which can be probed by IXS and it is not possible experimentally to investigate the character of the corresponding collective excitations.
Ethnobotanical and Traditional Knowledge on Psammophytic Plants: Southeast Indian Coastal Area

T HE SOUTHEAST Indian (SEI) coastal area is rich in unique wild plant life. These coastal plants have various medicinal properties that the local inhabitants traditionally use. No study has reported the documentation of medicinal plants in the entire SEI coastal region. In this study, we report the complete medicinal plants found along the SEI coastal regions and the traditional ethnobotanical knowledge (TEK) inventory of fishermen’s communities. Field study documented a total of 111 medicinal plant species, which belong to 49 families in the 46 fixed study sites along with the SEI and established herbaria. The highest species count was recorded from the Fabaceae family and the least from Amaranthaceae, Rhizophoraceae, and Apocynaceae family. Among the collected plants, 43% were herbs, followed by 33% trees, 15% shrubs, 6% climbers and 3% creepers. On surveying the fisherman community’s traditional ethnobotanical knowledge (TEK), it was observed that among the total number of informants, 57% were above the age group of 60 yrs, followed by 28% and 15% of middle and younger age groups, respectively. This study will provide basic knowledge about the medicinal plant resources of SEI and TEK of fishermen’s community to initiate the future-oriented conservation strategies
Study of the long bipole and large power electromagnetic field

Generally,the geoelectrical structure of the earth′s crust and upper mantle only is considered in electromagnetic exploration.However,for a long bipole source(approximately several tens kilometers long),the effect of the ionosphere on the electromagnetic(EM) field should be taken into account when observations are carried out at a very remote locations far away from the source(several thousand kilometers). Especially,the configuration which includes the ionosphere,the atmosphere and the earth,called the "earth-ionosphere" case,should be considered.However,there are only a small number of publications related to this problem.In our study,we analyze first the electromagnetic field excited by an electric dipole within the traditional control source electromagnetic(CSEM) configuration using the integral equation method.We consider a three-layer model of the earth-ionosphere media.The modeling results closely match the half-space analytical data,since the effect of the ionosphere for this small scale bipole source is negligible.This confirms that the integral equation method is a reliable and effective method for modeling earth-ionosphere media.We examine the EM fields' behavior in the model of the complicated earth-ionosphere media with the field excited by a long bipole source in the far-field and wave-guide zones.We model the decaying properties of electromagnetic fields for three-layer earth-ionosphere model considering a 50 km long current bipole source.Due to the influence of the ionosphere,the earth-ionosphere EM fields,excited by a long bipole source,has an extra wave-guide zone,where the field behavior is very different from the far field zone.We also model the EM fields for multi-layer models typical for continental shield and platform with 50 km long bipole and 200 A current source,and for the petroleum reservoir model including the ionosphere layer that is 100 km thick,and an air layer with the same thickness using a bipole that is 50 km in length.The modeling results show that the targets can still be easily identified in the earth-ionosphere EM fields with a very large offset(more than 1000km).