Miracle-dz/UniFAR-FTUs huggingface dataset:
A review of the interaction of medicinal plants and arbuscular mycorrhizal fungi in the rhizosphere

Medicinal plants are well known to have the advantages of high concentration of medicinal ingredients having clinical importance, curative value, small toxic and side effects. Important compounds viz., paclitaxel, camptothecin, and vincristine have been developed from medicinal plants as first-line of clinical drugs, leading to their consistently increasing demand globally. However, the destruction of natural environment due to excessive mining threatened such resources jeopardizing the successful growing of medicinal plants. A group of beneficial arbuscular mycorrhizal (AM) fungi is known to exist in the rhizosphere of medicinal plants, which can establish a reciprocal symbiosis with their roots, namely arbuscular mycorrhizas. These AM fungi are pivotal in the habitat adaptation of medicinal plants. Studies have demonstrated that AM fungi aided in growth promotion and nutrient absorption of medicinal plants, thereby, accelerating the accumulation of medicinal ingredients and aiding resistance against abiotic stresses such as drought, low temperature, and salinity. An AM-like fungus Piriformospora indica is known to be cultured in vitro without roots, later showed analogous effects of AM fungi on medicinal plants. These fungi provide new mechanistic pathways towards the artificial cultivation of medicinal plants loaded with ingredients in huge demand in international market. This review provides an overview of the diversity of AM fungi inhabiting the rhizosphere of medicinal plants, and analyzes the functioning of AM fungi and P. indica, coupled with future lines of research.
Optimum base-doping profile for minimum base transit time considering velocity saturation at base-collector junction and dependence of mobility and bandgap narrowing on doping concentration

We used variational calculus, the trial function, and the iterative procedure method to evaluate the optimum base doping concentration profile that will yield the minimum base transit time /spl tau//sub B/. All methods were extended to include the velocity saturation at the base collector junction, and the dependence of mobility and bandgap narrowing on the base doping concentration. We showed that all methods produce almost the same /spl tau//sub B/, although the profiles differ. Among them, the iterative method always produces the minimum /spl tau//sub B/ and variational calculus clearly shows the dependence of /spl tau//sub B/ on physical parameters.
River reversal of the Parlung River at Songzong Town in the eastern Himalayan Syntaxis, Tibetan Plateau

Revealing reorganization patterns of major rivers and their drainage basins have great implications for understanding evolution of mountainous landforms. Drainage reversal, as an important river process, has been widely considered to be directly associated with stream capture highlighting river erosion. As such, few study reported any other mechanisms for explaining formation of drainage reversal. However, its mechanism still remains open due to infrequent occurrence or lacking clear field evidence. Here, we first show that glacial damming highlighting river aggradation can also induce river reversal. Based on geomorphic analysis, measurements of terrace cobbles, and dating results, we suggest that two river reversals occurred at Songzong along the Parlung River in the south‐eastern region of the Tibetan Plateau. Specifically, the river reversed eastward due to a glacier damming event prior to ~23.7 ± 2.0 ka BP and then reversed to flow westward at 20.4 ± 2.7 ka BP due to the break of the glacier dam. Moreover, all the reaches upstream of the glacier deposits along the two rivers at Songzong have smaller channel steepness compared with the corresponding segments downstream, indicating that glacier deposits significantly influenced river incision process of the Parlung River. Combined with previous studies, our results may indicate that glaciers might be an important factor to influence river evolution and fluvial landform of the Eastern Himalayan Syntaxis of the Tibetan Plateau.
Relationship between Vegetables and Fruit Consumption Habits, Nutrition Intake, Physical Activity, and Family Support with Adolescent Nutritional Status

Adolescents nutritional status is one of the major challenges for health workers and society, which is caused by their excessive intake of food, but lack of fiber intake and lack of physical activity. This research is to know how relationship between vegetables and fruit habits, nutrition and family support with adolescent nutritional status. This research design used was cross sectional, where research is conducted one-time to find relationships between the independent variable and the dependent variable. Its samples consisted of 340 adolescents in Pangkalpinang city. Subjects were screened by using google form first, data collection is done directly with the help of enumerators. The results of statistical tests showed that the habit of consuming vegetables (p = 0.005) and physical activity (p = 0.016) were the variables that had the most influence on adolescent nutritional status. Adolescents who often consume vegetables and have a minimum physical activity of 600METs / day have the opportunity to have a good nutritional status.
Relationship of Placental TLR-7 Expression with Cord Blood HBV DNA and Placental HBV DNA

Abstract Objective: To determine the role of TLR-7 expression on intrauterine vertical transmission in pregnancy through identification of serum hepatitis B markers in both maternal and umbilical cord blood. Method: Analysis of TLR expression was performed on 38 paraffin block samples of placental tissue acquired from mothers with HBV using TLR immunohistochemical staining. Result: 16 of 38 samples were acquired from mothers aged 26-30 years old. Most of the samples were from primiparous mothers (52.6%). This study found no significant association between TLR-7 expression and HBV DNA in the placenta and cord blood (p=1.000). However, we found a significant association between placental TLR-7 expression and maternal HBV DNA (p=0.034). Meanwhile, placental HBeAg and HBV DNA were not associated with placental TLR-7 expression (p=0.082; p = 1.000). Conclusion: There was no significant association between TLR-7 expression and HBV DNA in the placenta and cord blood, but we found a significant association between TLR-7 expression and maternal HBV DNA. Key word: toll-like receptor (TLR) 7, HBV DNA, umbilical cord, placental, Hepatitis B, intrauterine infection
Accelerated chloramine decay and microbial growth by nitrification in premise plumbing

Chloramine decay rates are accelerated by nitrifier colonization of premise plumbing, which compromises the effectiveness of secondary disinfection. As expected, in the absence of nitrification, chloramine was more stable than chlorine; but in the presence of nitrification, the relative stability (and efficacy) of the two disinfectants could be reversed. The net result with chloramination can be higher levels of heterotrophic bacteria in the bulk water and pipe biofilms than would be found with free chlorine. These experimental trends were confirmed using field data collected from homes in systems with active nitrification.
Comparison of Cognitive Function of Ischemic Stroke Patients with and without Pneumonia

Background: Pneumonia is a common complication of ischemic stroke that may worsens brain injury, leading to cognitive impairment as well as patient outcome. The aim of this study was to compare cognitive function in ischemic stroke patients with and without pneumonia. Methods: This study was a comparative numerical analytic retrospective cross-sectional study that was conducted from September 2020 to February 2021. This study used data from ischemic stroke patients treated at Dr. Hasan Sadikin General Hospital in 2019 with the total sampling method. Data were stratified into patients with pneumonia and without pneumonia. The mini mental state examination (MMSE) was used to measure cognitive function in both groups and scores were compared using the Mann-Whitney Test. Result: Of the 164 data, 25 were patients with pneumonia and 139 without pneumonia. Male patients were predominantly prevalent in the pneumonia and non-pneumonia groups. Hemiparesis was the most common neurological deficit. The MMSE score was significantly lower in the pneumonia group (22.6 ± 5.4 vs. 24.7 ± 4.8, respectively; p- value=0.032). Conclusion: Cognitive function is more prevalent in ischemic stroke patient with pneumonia compared to non-pneumonia. However, other factors such as recurrent stroke and possible vascular risk factors should be considered for future studies to better identify the relationship between ischemic stroke and pneumonia.
Bayesian model selection for multilevel mediation models

Mediation analysis is often used to explore the complex relationship between two variables through a third mediating variable. This paper aims to illustrate the performance of the deviance information criterion, the pseudo‐Bayes factor, and the Watanabe–Akaike information criterion in selecting the appropriate multilevel mediation model. Our focus will be on comparing the conditional criteria (given random effects) versus the marginal criteria (averaged over random effects) in this respect. Most of the previous work on the multilevel mediation models fails to report the poor behavior of the conditional criteria. We demonstrate here the superiority of the marginal version of the selection criteria over their conditional counterpart in the mediated longitudinal settings through simulation studies and via an application to data from the Longitudinal Aging Study of the Amsterdam study. In addition, we demonstrate the usefulness of our self‐written R function for multilevel mediation models.
Modeling the Nigerian Bonny Light Crude Oil Price: The Power of Fuzzy Time Series

Several authors have used different classical statistical models to fit the Nigerian Bonny Light crude oil price but the application of machine learning models and Fuzzy Time Series model on the crude oil price has been grossly understudied. Therefore, in this study, a classical statistical model—Autoregressive Integrated Moving Average (ARIMA), two machine learning models—Artificial Neural Network (ANN) and Random Forest (RF) and Fuzzy Time Series (FTS) Model were compared in modeling the Nigerian Bonny Light crude oil price data for the periods from January, 2006 to December, 2020. The monthly secondary data were collected from the Nigerian National Petroleum Corporation (NNPC) and Reuters website and divided into train (70%) and test (30%) sets. The train set was used in building the models and the models were validated using the test set. The performance measures used for the comparison include: The modified Diebold-Mariano test, the Root Mean Square Error (RMSE), the Mean Absolute Percentage Error (MAPE) and Nash-Sutcliffe Efficiency (NSE) values. Based on the performance measures, ANN (4, 1, 1) and RF performed better than ARIMA (1, 1, 0) model but FTS model using Chen’s algorithm outperformed every other model. The results recommend the use of FTS model for forecasting future values of the Nigerian Bonny Light Crude oil. However, a hybrid model of ARIMA-ANN or ARIMA-RF should be built and compared with Chen’s algorithm FTS model for the same data set to further verify the power of FTS model using Chen’s algorithm.
The Measurement of LED Domain Wavelength Based on LabVIEW

The domain wavelength is the most important colorimetric parameter of tested LED, it decides the LED color quality. The data acquisition system is build of linear CCD, monochromator，and PCI data acquisition card, which can obtain the chart of distribution value of 1urninous intensity and color coordinate of LED with LabVIEW. This paper present measurement method based on the table method, the measurement method is looking-up two domain wavelengths which distance is 1nm through slope which get from testing LED color coordinate and white light LED coordinate, and calculate the domain wavelength of testing LEDs using LabVIEW and mathematic interpolation, the measurement error of domain wavelength is 1 nm.
Flowgraph synthesis of Darlington - Cauer switched- capacitor filters

The Darlington-Cauer method of transfer function synthesis is proposed for the exact realization of low passband sensitivity SC filters directly from z -domain specifications. The Darlington-Cauer technique is unattractive for passive realizations due to its reliance upon ideal transformers; however, such elements are simple to realize in SC form. The resulting circuits are completely parasitic free. The use of balanced output operational amplifiers results in an economical realization.
Evaluation of the periodontal status of a patient diagnosed with Sheehan syndrome: A case report

Aim: Some immunological changes occurring in mothers during pregnancy increase their susceptibility to infections, including periodontal infections. Sheehan syndrome (SS) is a disease that occurs because of severe postpartum hemorrhage causing ischemic pituitary necrosis. The presence of multiple hormonal deficiencies leads to the impairment of bone microarchitecture, which can cause osteopenia and even osteoporosis. Osteoporosis and periodontitis are both chronic diseases characterized by bone loss. Moreover, recent studies have shown that there is a relationship between menopause, osteoporosis, alveolar bone resorption, and tooth loss. This case report aims to evaluate the oral and periodontal status of a patient with SS and to raise awareness about dental and periodontal problems that may occur in such patients. Methodology: A 63-year-old female patient diagnosed with SS in the endocrinology clinic was referred to the periodontology clinic with complaints of multiple tooth loss, mobility in her teeth, and gingival bleeding. In the clinical and radiographic examination of the patient, it was determined that all teeth had horizontal bone resorption; moreover, there was mobility in the mandibular anterior teeth and hemorrhage in the gums. When the patient’s laboratory results were examined, it was seen that the basal plasma levels of free triiodothyronine (T3) and thyroxine (T4), growth hormone (GH), prolactin (PRL), follicle stimulating hormone (FSH), luteinizing hormone (LH), progesterone, and total testosterone values were significantly lower, and the anterior pituitary elevation was significantly decreased in pituitary magnetic resonance (MR) imaging. Conclusion: The periodontium is the target tissue of sex and other hormones. Hormonal changes may affect the inflammatory–immune tissue responses of periodontal tissues. Many studies have shown that thyroid and sex hormones affect oral and especially periodontal tissues. The degradation of hormonal hemostasis may induce a series of pathological events in the oral environment, resulting in inflammatory changes in gingival tissues, periodontal attachment losses, and destruction of the alveolar bone. Systemic diseases that affect hormonal conditions, such as SS, must be considered in the evaluation of oral health. Medical physicians should refer their patients to the dentist for consultation when evaluating patients’ hormonal status and planning their treatment. How to cite this article: Şen SC, Saygun NI, Or Koca A, Özcan E. Evaluation of the periodontal status of a patient diagnosed with Sheehan syndrome: A case report. Int Dent Res 2021;11(Suppl.1):308-11. https://doi.org/10.5577/intdentres.2021. vol11.suppl1. 46 Linguistic Revision: The English in this manuscript has been checked by at least two professional editors, both native speakers of English.
Influence des managers d’interfaces lors d’un changement organisationnel : cas d’un processus d’intégration post-fusion

Les defis engendres par la phase d’integration des operations de fusions-acquisitions – entre 40 a 60 % des fusions-acquisitions sont un echec selon Bauer et Matzler (2014) – conduisent a la creation de « managers d’interfaces » (nommes boundary spanners dans la litterature sur les alliances strategiques) qui semblent porter la responsabilite de la gestion operationnelle de l’integration post-fusion. Ces acteurs, en tant qu’individus positionnes aux frontieres des deux entites engagees dans une fusion-acquisition, sont amenes a gerer la relation inter-organisationnelle. Dans cet article, nous tentons d’identifier les roles et influences des managers d’interfaces dans le processus de l’integration post-fusion.
Random defect limited yield using a deterministic model

To be successful in the competitive semiconductor industry, the need to reduce cost per die is necessary and always challenging. It is important to produce better die per wafer by minimizing the cycle time to detect and fix yield problems associated with the technology. Yield, or wafer sort yield (number of good chips/wafer) can be separated into three components: random defect limited yield, systematic yield, and repeating yield loss. Random defect limited yield is caused by defects. Process equipment and byproducts primarily cause defects. Defects, usually randomly distributed, can also be localized to one, or multiple die on a wafer. In-line QC inspection tools can detect most defects. Systematic yield losses are process-related problems that can affect all die on a wafer, some die on a wafer, or die by region on a wafer. Systematic yield losses are not detectable by in-line QC defect inspection tools. Repeating yield loss is due to reticle defects. Reticle defects occur on the same die within a reticle field, e.g. a repeating defect can be caused by contamination on the stepper lens, by contamination on the pellicle that protects the reticle, or by contamination on the reticle itself. Reticle defects are sometimes detectable by in-line QC inspection tools. The focus of this paper is on the calculations and results of random defect limited yield (DLY) using the deterministic yield model. This model is used to prioritize defect problems, and to drive yield improvements. Examples are used to illustrate the benefits and strengths of the deterministic model. We also discuss the methodology, assumptions, and limitations of this model.
(Re)orientating literacy doxa in the digital age: the discursive practices of new policy actors

ABSTRACT deological struggles over the policy and practice of literacy education continue to characterise the field. This paper explores how ‘new policy actors’, market-orientated and profit-driven players, construct the crisis of literacy and schooling in Australia to reclaim the doxa of literacy education. The concept of doxa is employed to show how recent discursive practices are contributing to orthodox and heterodox positions. A mixed-methods content analysis was performed on reports produced by business groups and their proxies, analysing how these reports construct new narratives. The findings reveal how these stakeholders adopt a stance best characterised as the old doxa revisited and (re)orientated for new economic imperatives. A defence of literacy as ‘common-sense’ basic skills, in crisis, and predominantly developed through schooling for the purpose of work, is supplemented with a discourse which updates literacy doxa to include technological (media) dimensions where digital literacy skills are the ‘new basics’ of literacy education.
High Power Density, High Efficiency System Two-stage Power Architecture for Laptop Computers

This paper proposes system two-stage power architecture for laptop voltage regulators (VRs). By taking advantage of the Thermal Design Power (TDP) requirement in the laptop, VRs for microprocessor, graphics, DDR memory and main power can share the same first stage with very low design power. The high-efficiency and high-frequency first stage based on switching capacitor technology and second stage design is presented in this paper respectively. Two different designs are illustrated and verified by experiments. One design keeps the similar VR cost as the current single-stage solution and improves VR light load efficiency by 5%. Another design has slightly higher VR efficiency comparing with single-stage solution while reducing the footprint of VR output inductors and capacitors by 25%∼33% and VR total cost by 5%.
Dynamic stress experiments for understanding hot-carrier degradation phenomena

The results of inhomogeneous hot-carrier injection experiments in which static and dynamic stresses are applied to n-MOSFETs are presented. A qualitative model in which holes play a key role for the final formation of interface states is developed. The holes are injected and trapped within the strained oxide region. The hole-injection process is controlled by hole traps in the oxide, close to the interface. With this model, a large number of dynamic and static hot-carrier stress experiments are consistently explained. Finally, a simple method by which the lifetime of a device under real operation can be predicted from dynamic stress experiments is given. >
A novel framework combining BCI and IOT for the detection of activity of the brain

Virtual brain research is accelerating thedevelopment of inexpensive real-time Brain Computer Interface (BCI). Hardware improvements that increase the capability of Virtual brain analyse and Brain Computer wearable sensors have made possible several new software frameworks for developers to use and create applications combining BCI and IoT. In this paper, we complete a survey on BCI in IoT from various perspectives; including Electroencephalogram (EEG) based BCI models, machine learning, and current active platforms. Based on our investigations, the main findings of this survey highlights three major development trends of BCI, which are EEG, IoT, and cloud computing. Using this it is completely useful for finding the true state of whether the brain is alive or dead. If it is alive, then the activity of the brain is monitored and stored. Through this anyone can come to conclusion that whether the action done is legal or illegal. And this has an advantage for 2 scenarios. First is for AUTISM affected people and secondly Forgery in asset documents. And if any changes in the status of the brain then it will be send to the specific person in their relation using SMS & Email id.
Thermionic-emission-based barrier height analysis for precise estimation of charge handling capacity in CCD registers

In designing charge-coupled device (CCD) image sensors, it is essential to be able to estimate charge handling capacity. Because electrons have thermal energy, storing electrons in a well in a CCD register requires a sufficient potential barrier height to keep them from overflowing. As the quantity of electrons in a well depends on the barrier height, knowledge of this height is indispensable for precise estimation of the charge handling capacity. The authors have derived an expression describing the barrier height on the basis of thermionic emission, assuming current coefficient I/sub 0/ and well capacitance C. We derived the current coefficient I/sub 0/ and well capacitance C with computer simulations and from the results estimate the magnitude of the barrier height for a typical Vertical-CCD (V-CCD) structure. We have also examined barrier height dependence on structural parameters. Finally, we determined the barrier heights experimentally, and our results support the values obtained in the simulation.