Miracle-dz/UniFAR-FTUs huggingface dataset:
Cyclin D1 in oral premalignant lesions and oral squamous cell carcinoma: An immunohistochemical study

Background: Cyclin D1 is derived from PRAD1 or CCND1 gene located on chromosome 11q13 and it acts as a positive regulator of the cell cycle. In normal cells, cyclin D1 promotes progression through the G1 phase of the cell cycle. Over expression of cyclin D1 may lead to shortening of G1 phase, increased cell proliferation and reduced dependency on growth factors. Over expression of cyclin D1 has been reported in various tumors like esophageal carcinoma, hepatocellular carcinoma, lung carcinoma, and head and neck carcinoma. Aims and Objectives: The study was carried out to evaluate and compare the expression of Cyclin D1 in premalignant lesion and different grades of oral squamous cell carcinoma. Materials and Methods: A total 75 histopathologically diagnosed cases of oral squamous cell carcinoma and oral premalignant lesions cases were evaluated immunohistochemically for cyclin D1 expression. Results: We found that cyclin D1 protein expression was significantly altered from epithelial dysplasia to oral squamous cell carcinomas. Conclusion: Thus we can conclude that cyclin D1 may be a useful marker in the cases of oral precancer and cancer. It can also act as a potential target for molecular intervention studies in future.
Heart Transplant Immunosuppression Strategies at Cedars-Sinai Medical Center

Heart transplant is the optimal treatment for selected patients with end-stage heart failure. Immunosuppression after heart transplantation has significantly reduced the incidence of rejection and improved patient outcomes with the routine use of calcineurin inhibitors. Antimetabolites and proliferation signal inhibitors add to the improvement in patient outcomes as well. The goal of induction therapy is to provide intense immunosuppression when the risk of allograft rejection is highest. Most maintenance immunosuppressive protocols employ a 3-drug regimen consisting of a calcineurin inhibitor, an antimetabolite agent and glucocorticoids. The management of rejection proceeds in a stepwise fashion based on the severity of rejection detected on biopsy and the patient's clinical presentation. This review will cover induction, maintenance, rejection therapy and some special considerations including sensitization, renal sparing protocol, and corticosteroid weaning. It will end in consideration of potential future directions in immunosuppressive strategies to promote patient and graft survival.
Towards prediction in ungauged aquifers – methods for comparative regional analysis

Hydrogeological investigations and in particular groundwater resource assessments are strongly reliant on understanding the factors controlling groundwater level dynamics. However, historical records of measured groundwater levels are often scarce and unevenly distributed in space and time. This irregularity of measurements, combined with hydrogeological systems with heterogeneous properties and unclear inputs and driving processes, leads to the need for systematic methods for prediction of groundwater in poorlyobserved (ungauged) groundwater systems. In this thesis, methods of comparative regional analysis are presented to estimate groundwater level dynamics at ungauged sites based on similarity of groundwater system response and climatic and non-climatic characteristics. In order to carry out comparative regional analysis, methods were developed and compared for measuring similarity of groundwater system response based on entire (Paper I) and on features (Paper II) of groundwater levels time series. The relationship between similar groundwater response and groundwater system characteristics are evaluated further by identifying groups of similar sites using similaritybased classification (Paper I-III). Finally, climatic and physiographic system characteristics are identified that can be linked to groundwater dynamics aided by regression analysis and conceptual models (Paper IV). They can therefore serve as a basis for prediction in ungauged aquifers (Paper V). The thesis presents novel methods for regional analysis of groundwater resources that can be used to link groundwater dynamics to groundwater system characteristics. It demonstrates the strong potential of the presented methods and ways forward for prediction of groundwater dynamics in ungauged aquifers.
The Functions and Importance of CH···O Bonds in SET Domain Methyltransferases.

Methylation is a ubiquitous reaction in biology, particularly with respect to metabolism, signal transduction, and gene regulation. This reaction is most often catalyzed through a convergently evolved SN2 mechanism that utilizes the cofactor S-adenosylmethionine (AdoMet). Despite its importance, little is known of the determinants of this conserved reaction. The following dissertation describes the discovery of one such determinant, unconventional CH•••O hydrogen bonds. A new methodology utilizing NMR spectroscopy is first developed to identify biological CH•••O hydrogen bonds, and applied to the AdoMet methyl group within the active site of model methyltransferase SET7/9. Using a structural survey, the universality of these interactions in the classes of AdoMet-dependent methyltransferases is then demonstrated. The functional importance of CH•••O hydrogen bonds hydrogen within the active site of a model methyltransferase are verified by structural, functional, and dynamic analyses of SET7/9, using a combination of x-ray crystallography, mutagenesis with natural and unnatural amino acids, quantum chemistry calculations, and NMR spin-relaxation experiments. The CH•••O hydrogen bonds are shown to aid in cofactor binding as well as catalysis by stabilizing both the reactant and transition states of methyl transfer, and optimizing the catalytic geometry of the AdoMet methyl group. Together, these studies elucidate a universal mechanism of AdoMet-dependent methyl transfer, providing a molecular framework for this integral biological reaction.
PRESCRIPTION READING SYSTEM FOR VISUALLY IMPAIRED PEOPLE USING NLP

— A camera-based assistive text reading framework is proposed for visually impaired people to read the text labels from the Prescription in their day to day lives. In the proposed system, the camera acts as the main vision to capture the image of Prescription. To isolate the Prescription Image from complex backgrounds, we first propose a motion-based method to define region of interest (ROI) image. Then text characters are recognized by optical character recognition (OCR). The extracted texts are converted into audio output using the text to speech converter.
Effects of Crude Aqueous Extracts of Pyrenacantha Staudtii and Trichilia Monadelpha on Visceral Organs of Albino Mice

Pyrenacantha staudtii and Trichilia monadelpha are herbal plants used indiscriminately to treat malaria by local people in Nigeria. Hence the need to examine the effects of these plants on the visceral organs of mice in order to determine their safety use. Crude aqueous extracts of the plants were prepared. Different concentrations such as 500mg/Kg, 800mg/Kg 1000mg/Kg, 2000mg/Kg and 4000mg/Kg of the extracts were separately administered to mice in different groups. After 24h post-administration of the extracts, the mice were sacrificed to examine the histology of their visceral organs. No mortality was recorded among the treated mice 24h post-administration of the extracts. There was no lesion on the lung and heart tissues of the treated mice. The extracts of P. staudtii caused necrosis in the liver and kidney tissues at high concentration. But no necrosis was observed in the liver and kidney tissues of mice administered with T. monadelpha extract. Generally, there were cellular infiltrations in the liver and kidney tissues of the mice administered with the extracts of both P. staudtii and T. monadelpha. No lesion was seen in the tissues of untreated mice. Both P. staudtii and T. monadelpha appeared to be toxic at high concentration. Indiscriminate use of these plants without standard measurement should be discouraged.
A Rudimentary Computational Assessment of Low Tip Speed Ratio Asymmetrical Wind Turbine Blades

*Corresponding author: azizuddin@ump.edu.my 89 2020 UTHM Publisher. All rights reserved. penerbit.uthm. edu.my/ojs/index.php/ijie Abstract: This paper presents a computational study of novel drag type vertical axis wind turbine inspired by three design elements from nature. The aim of this study is to analyze the aerodynamic performance of the proposed design. The design is simulated in FLUENT using SST k-ω transport model via URANS turbulent model. The model is simulated in 2D in order to save computational time. The design is simulated under the influence of freestream velocity of U∞=8m/s at multiple tip speed ratios. The proposed wind turbine is composed of drag induced novel cavity vane turbine blade for energy capturing. The proposed wind turbine generated low power coefficient, Cp = 0.029 and Cp=0.025 at λ=0.2 and λ=0.3 respectively. Tip speed ratio λ=0.4, λ=0.6 and λ=0.9 indicated high instability in moment generation and high negative power extraction. Computational result indicated that the geometry of the cavity vane has impacted the performance of the turbine due to its sharp-edged corner. The proposed geometry resulted in unstable moment generation and torque deliverance which impacted the power extraction. The lack of symmetrical and streamline properties of the blades has affected one another as in terms of rotation. The cavity vane experiences high adverse pressure due to its sharp cornered geometry in returning blade which consequently impacted the rotation of the advancing blade.
Bacterial auto-aggregation and co-aggregation in activated sludge

Microbial auto-aggregation and co-aggregation, leading to biofilm or floc formation, widely occur in natural systems. This study was conducted to investigate the extent of bacterial auto-aggregation and co-aggregation in activated sludge and their contributions in activated sludge floc formation. In this study, an activated sludge sample was separated into a supernatant part (planktonic community) and a sediment part (floc community) by centrifugation at 650×g for 2 minutes. 197 strains were isolated from both communities. These isolates belong to 18 phylotypes based on molecular identifications. Similar phylogenetic distributions of these isolates were observed in planktonic and floc communities, suggesting a similar community structure exists in these communities. 1 strain was picked from each phylotype to conduct further characterization on auto-aggregation and co-aggregation. Three types of bacterial autoaggregation patterns were observed: (1) aggregating bacteria (F): bacteria have constant high aggregation abilities. (2). bacteria with varying aggregation capability at different growth stage (VF). (3) Non-aggregating bacteria (NF): bacteria do not aggregate. The VF type bacteria are the most dominant one. The results of co-aggregation characterization indicated that co-aggregation relationship between bacteria in activated sludge is complex, varying at different growth time. Strain S13, which is identified as Acinetobacter johnsonni, has a negative effect on the aggregation of other strains.
Spacing between plants and cultivar affect the production componentes of Italian zucchini

ABSTRACT The italian zucchini is a vegetable of national importance, much appreciated, which requires techniques that aim to increase production in less space. Plant spacing can influence the development of plants and the fruit production. The objective of this study was to evaluate the performance of Italian zucchini cultivars as a function of plant spacing. The experimental design was a randomized blocks in a 2 x 4 factorial scheme with four repetitions. The treatments consisted of a combination of two cultivars of zucchini (Alícia and Caserta) and four spacings between plants (0.4, 0.5, 0.6 and 0.7 m). The evaluated characteristics were: total number of fruits plant-1, number of commercial fruits plant-1, total productivity, commercial and non commercial, fresh mass of commercial fruits and dry mass of the plant. The cultivars responded differently to spacings between plants. The Alicia hybrid showed higher commercial yield, 28,490.5 kg ha-1 at spacing of 0.64 m between plants and Caserta cultivar, 26,398.8 kg ha-1 at spacing of 0.4 m.
Methods for Accurate Resistance Measurement

Many devices have components that have very low ohmic properties. The resistances of these components should be measured to ensure their value doesn’t change. An overview is presented on precision resistance measurement for values less than 100Ω. Few techniques like Wheatstone bridge, current-voltage method, current comparators are discussed here.
Car Plate Detection Based on Yolov3

An intelligent car plate detection method can make the travel more convenient and efficient. However, traditional methods are reasonably effective under the specific circumstances or strong assumptions only, and there are few databases for car plate detection. Therefore, a novel real-time car plate detection method based on improved Yolov3 has been proposed. In order to select the more precise number of candidate anchor boxed and aspect ratio dimensions, the K-Means algorithm is utilized. To solve the short of the available car plate database, a car plate database which has 6668 pictures has been established. As shown in the experimental results, the method which is proposed by this paper is better than original Yolov3. Thanks to the car plate database, the proposed method obtained better results even in the situation of inclination, too bright or too dark, different weather and so on.
Advance Industry with Parking-System Using IoT

Internet of things is latest rapidly growing technology. IOT is the system of interrelated computing devices and objects integrated with electrical devices, applications, sensors, and internet, which allows objects to bring and interchange data. This latest machinery has provided a chance to build advanced industry and its new applications. In this paper, a system is developed that automatically monitor the industry system and generate alert and alarms or take better decisions using concept of IoT. Iot has given us promising way to build powerful industrial systems and program by using smart devices, android applications and sensors.
Plant Growth Promoting Rhizobacteria (PGPR) - Prospective and Mechanisms: A Review

Plant growth-promoting rhizobacteria (PGPR) are naturally occurring soil bacteria that colonize plant roots, which is an important environment for plant microbe interactions. PGPR have attracted special attention for their ability to enhance productivity, sustainability and profitability when food security and rural livelihood are a key priority. Chemical fertilizers used in agriculture and pathogenic microorganisms attacking plants show harmful impact on the ecosystem. The potentiality of PGPR offers an attractive way to replace the use of chemical fertilizers, pesticides and other supplements. PGPR affect plant growth and development directly or indirectly, either by releasing plant growth regulators or other biologically active substances, and uptake of nutrients through fixation and mobilization, reducing harmful effects of pathogenic microorganisms on plants and by employing multiple mechanisms of action. Besides they play an important role in soil fertility. This review intends to elucidate the diverse mechanism of plant growth promoting rhizobacteria in promoting crop production and developing sustainable agriculture.
sars: an R package for fitting, evaluating and comparing species–area relationship models

: The species–area relationship (SAR) constitutes one of the most general ecological patterns globally. A number of different SAR models have been proposed. Recent work has shown that no single model universally provides the best fit to empirical SAR datasets: multiple models may be of practical and theoretical interest. However, there are no software packages available that a) allow users to fit the full range of published SAR models, or b) provide functions to undertake a range of additional SAR ‐ related analyses. To address these needs, we have developed the R package ‘sars’ that provides a wide variety of SAR ‐ related functionality. The package provides functions to: a) fit 20 SAR models using non ‐ linear and linear regression, b) calculate multi ‐ model averaged curves using various information criteria, and c) generate confidence intervals using bootstrapping. Plotting functions allow users to depict and scrutinize the fits of individual models and multi ‐ model averaged curves. The package also provides additional SAR functionality, including functions to fit, plot and evaluate the random placement model using a species–sites abundance matrix, and to fit the general dynamic model of oceanic island biogeography. The ‘sars’ R package will aid future SAR research by providing a comprehensive set of simple to use tools that enable in ‐ depth exploration of SARs and SAR ‐ related patterns. The package has been designed to allow other researchers to add new functions and models in the future and thus the package represents a resource for future SAR work that can be built on and expanded by workers in the field.
Smart Contract and Blockchain for Crowdfunding Platform

In the situation of the Covid-19 plague, many organizations are raising funds to help local governments to obtain additional sources of funds that will be distributed to those in need Trust is an important factor for the parties involved in raising these funds, both in terms of the funder, the service provider of fundraising platform and even the fundraiser On this occasion, the author tries to analyze how to implement blockchain technology and smart contracts in the dominant schemes of crowdfunding process the results of this study indicate that blockchain-based smart contracts can be applied to the dominant schemes of crowdfunding process © 2020, World Academy of Research in Science and Engineering All rights reserved
CHARACTERIZATION OF THE EFFECT OF CHRONIC KIDNEY DISEASE ON HEPATIC DRUG REDUCTION: IN-VITRO AND IN-VIVO STUDIES OF WARFARIN

Chronic kidney disease (CKD) affects the disposition of drugs by altering their renal excretion. Well-established evidence suggests that CKD also impacts the nonrenal clearance of drugs by modulating drug metabolism and transport. The overall objective of this dissertation was to investigate the effect of CKD on hepatic reduction, an important Phase I drug metabolism pathway. In order to achieve our goals, a novel analytical method was developed and validated to measure warfarin and its alcohol metabolites. In vitro studies utilizing rat hepatic cytosol and microsomes showed significant decreases in the formation of RS/SR-warfarin alcohol in the CKD group compared to control, suggesting decreased reductase activity. Significantly decreased mRNA and protein expression (>30%) of selective reductase enzymes was also observed in rats with CKD. In vitro studies of human liver cytosol and microsomes collected from patients with end stage renal disease (ESRD) revealed a trend toward decreased formation of RS/SR-warfarin alcohol. A significant decrease (65%) in protein expression of carbonyl reductase 1 was observed in livers from ESRD compared to control livers. Together, the in vitro findings implicate transcriptionally or translationally mediated changes in reductase enzyme function in CKD. In vivo studies assessing the effect of CKD on steady-state warfarin and warfarin alcohol disposition showed increased concentrations of RR/SS-warfarin alcohol along with decreased kidney function, indicating impaired renal elimination of the RR/SS-warfarin alcohol metabolite in kidney disease patients. Additionally, increased free and total S/R warfarin observed in ESRD patients potentially suggests reduced CYP2C9 activity. Collectively, our findings demonstrate that drug reduction is impacted by kidney function, and provide a mechanism for altered nonrenal clearance and disposition of drugs in CKD. The findings of these studies may be clinically relevant in improving the management of drug substrates of reductases, specifically warfarin, in patients with CKD. Given the high frequency with which these drugs are prescribed for CKD patients, dosing adjustments and frequent monitoring may be warranted.
Students’ metacognitive ability in solving quadrilateral problem based on adversity quotient

The purpose of this research is to describe the profile of students metacognitive ability in solving quadrilateral problem based on quitter, camper and climber categories. In this reasearch also discuss about the process of students metacognitive answer in solving quadrilateral problem. This research is as qualitative descriptive research. Subject in this research is students 8th grade SMPN 3 Jember. The subjects consisted of three students, one of them is categorized as quitter category, both of them are categorized as camper category, and fourth of them are categorized as climber category. The data is obtained from the Adversity Respone Profile, quadrilateral problem solving test, think aloud technique, and depth interview. Based on the result of research data analysis, student as quitter category in solving quadrilateral problem haven’t the awareness to solve the problem. They are easily to give up when they face the problem. While students as camper category in solving quadrilateral problem have the awareness to solve problems to find solutions. However, when they have got a solution, students at this category do not want to look for the other solutions. While students as climber category in solving quadrilateral problem have the awareness to solve problems to find solutions and they want to look for the other solutions. Based on this result, it shows that the students with the higher of AQ level then they have the higher problem-solving skills and the higher metacognition ability in solving quadrilateral problem.
Do Lives Matter? Why Football Players Get Tested for the Coronavirus and Why Nurses Do not An Analysis of Governmental Decisions in Germany

It poses a challenge to understand why nurses working with elderly people living in care homes or being in ambulant care have not yet been tested for the coronavirus, whereas teams in the German top football leagues have been tested before going back to practice again. How can this riddle be solved? For me, there are two possible explanations: Either the German government acts rationally only in certain cases or there are other things in the interest of the German government than just the number of headcount of lives. In this working paper, I argue for the latter and try to prove it.