Miracle-dz/UniFAR-FTUs huggingface dataset:
Development and Validation of a High-performance Liquid Chromatography–Diode-array Detection Method for the Determination of Eight Phenolic Constituents in Extracts of Different Wine Species

Objectives: A new HPLC method was developed and validated for the determination of some phenolic compounds; gallic acid, chlorogenic acid, epigallocatechin, caffeic acid, vanillin, p-coumaric acid, rutin, and quercetin in some local wine and fruit wine samples. Materials and Methods: Analyses were performed on a Zorbax Eclipse C18 column (4.6 x 150 mm, 3.5-µm particle size) using a gradient system. Mobile phase A was a 10-mM phosphoric acid solution and mobile phase B was methanol using a flow rate of 1 mL/min. Phenolic components were monitored using a DAD at three different wavelengths. Results: The developed and validated method was generally linear between the 1-100 ppm concentration range. Recovery values were obtained in the range of 95-105% and repetitive. The method was successfully applied to investigate the phenolic profiles of different wine samples. Conclusion: As a result of the study, an accurate, sensitive and reliable HPLC-DAD method was developed. The method was successfully used to determine the concentrations of antioxidant phenolic constituents from some local wine extracts.
Read Assist, Device that Read Text from Images

:The problems faced by Visually Challenged individual lies in different areas which needs to be addressed. One such difficulty is gaining information from text. Although Braille dialect is present, but all the resources of information in text is not present in this format. Hence a system needs to be designed which can help a person understand the text in front of them. The proposed system helps in solving the problem by clicking the image, containing text, and give audio as the output. The Image is converted into text by Optical Character Recognition Technique (OCR), using Tesseract OCR Engine. After which the text is converted into speech using a Python library.
Removal of Cadmium (Ii) Using A New Photo Catalyst SrWO4 – A Photo Catalytic Remedy for Purification of Water

The Contamination of water by toxic heavy metals is a world-wide environmental problem. Cadmium, in particular, is found toxic and of enormous harm because of its tendency to accumulate in the tissues of living organisms. The goal of this research is to treat low concentration cadmium bearing water using photo catalysis technique. Present work incorporates the removal of Cd(II) using SrWO4 as a semiconductor. The progress of reaction is observed spectrophotometrically. The effect of variation of different parameters like pH, concentration of Cd(II), amount of photocatalyst, light intensity etc. on the rate of reaction was observed. A tentative mechanism for the reaction is proposed.
Incidence of Obesity among Employees in a Nigerian University

Obesity has been on the increase worldwide and is presently recognized as one of the major health problem of our time. Obesity, usually exemplified by an increase in body fat at adipose tissue site, increases the risk of developing chronic diseases such as cardiovascular diseases, diabetes, and cancer. This study examined the prevalence of overweight and obesity among employees in a Nigerian University. A total of 727 subjects (280 females and 447 males), aged 20–78 with the age bracket 20–39, 40–59; ≥ 60 and above took part in this study. The weight and height of subjects were taken using standard measuring kit. The Body Mass Index (BMI) was calculated as weight per square of height (kg/m2) and WHO cut off was used to categorize the BMI of subjects into underweight, normal weight, overweight and obesity. The prevalence of underweight, normal weight, overweight and obesity among subjects include 1.65%, 35.49%, 31.50% and 31.36% respectively. Among the female subjects, the prevalence of underweight, normal weight, overweight and obesity was calculated to be 1.07%, 29.29%, 27.14% and 42.5% respectively while that of the male subjects was calculated to be 2.01%, 39.37%, 34.23% and 24.38% respectively. The study showed that over 60% of the subjects are overweight or obese. The incidence of obesity was observed to be higher among female subjects than among male subjects. The result of the study suggest a need for regular weight checks among employees in Nigeria in order to encourage necessary prevention strategies against obesity and its related diseases.
Detecting DNS Tunneling

DNS is a foundational protocol which enables applications such as web browsers to function based on domain names. DNS is not intended for a command channel or general purpose tunneling. However, several utilities have been developed to enable tunneling over DNS. Because it is not intended for general data transfer, DNS often has less attention in terms of security monitoring than other protocols such as web traffic. If DNS tunneling goes undetected, it represents a significant risk to an organization. This paper reviews DNS tunneling utilities and discusses practical techniques for detecting DNS tunneling. Two categories of detection considered are payload analysis and traffic analysis. The payload detection techniques have been used to detect successfully specific DNS tunneling utilities. The traffic analysis based technique can be used to universally detect DNS tunneling. With these detection techniques implemented organizations can reduce the risk associated with DNS tunneling. Detecting DNS Tunneling 2 Greg Farnham
Mining Query Facets using Reverse Searching Algorithm

: Now a days everyone in the world searches using the search engine, but that will take more time for search result because it will not give the relevant results in one search. The user has to sort the number of links and after more searching the user gets the relevant link about his search. In this case user has to give more time for searching. So, for overcoming this problem facets is used. Facets is nothing but the relevant links about the query which user has given as an input. For ﬁnding the facets QDMiner method is used. QDMiner removes the duplicate contents and gives the relevant links about the search result. QDMiner has one disadvantage that it was not remove total irrelevant links so for improving QDMiner reverse searching algorithm is used. The reverse searching algorithm is proposed in the system for removing the irrelevant links from the seed collection and recommend link to the friend. Trust based analysis shows the graph that how many links are recommended.
Virtual Machine Introspection: Security Architecture Overview

: The most serious issue in cloud computing is security which is a big hardship for the adoption of cloud. Some critical threats of cloud computing are multi-tenancy, loss of control, loss of data, outsider attacks, malicious insiders, availability, etc. Among many security issues in the cloud, virtual machine security is one of the very severe issues. Hence, monitoring of virtual machine (VM) is essential. Virtual Machine Introspection (VMI) depicts the mechanism of monitoring and analyzing the state of a virtual machine from hypervisor level. This paper focuses on the mechanism of monitoring virtual machines aimed at guaranteeing increased security to the cloud resources using security tools (VMI). It also includes a study of different architectures for providing the security and monitoring of virtual machines.
A Novel Two Stage Correlative Approach for Image Denoising

: Digital Images are the key sources of information in scientific research and Engineering applications. Due to many reasons the digital images are often contaminated by various types of noises during their capture by sensors and transmission from one point to another point. Some of the reasons are internal element imperfections of the image capturing sensors and poor illumination conditions. Due to these corruptions images will often become a null information conveying objects. It is essential to denoise the image before carrying out any high level processing operation on it. The underlying goal of any image processing algorithm is to remove the noise from an image without disturbing its quality. To achieve this goal in this project we proposed a novel two stage correlative approach for denoising the digital images efficiently. The proposed approach implements a correlative based denoising approach in both internal and external context. The proposed approach is coded, implemented and simulated in the Matlab environment and the simulation results adjudged that the proposed approach is best in all aspects and outperforms all the existing approaches
Late for Good

In this work, we perform a large-scale experiment on human mobility by using smartphones as sensors. To do so, we have developed an app continuously tracking signiﬁcant displacements of phones and providing in return to their user an attractive service. Contrary to standard tracking procedures based on Call Detail Records, our methods oﬀers the advantage of collecting data in real-time, in an anonymous way, and without the constraints usually imposed by mobile phone operators.
Parameter Sensitivity Analysis of Controlled Invariant Sets via Value Iteration

In this paper we propose a value-iteration based algorithm to compute controlled invariant sets in cases where the range of certain parameters in the system model are not known a priori. By defining the value function in a way that is related to parameter ranges, the proposed computation allows us to analyze parameter sensitivity for the controlled invariant set. The convergence properties of the algorithm are analyzed for certain classes of systems. Finally, a vehicle team power management case study is used to illustrate the efficacy and scalability of the proposed algorithm.
Antitumor effect of lenalidomide in malignant glioma cell lines

Glioblastoma is a malignant brain tumor exhibiting highly aggressive proliferation and invasion capacities. Despite treatment by aggressive surgical resection and adjuvant therapy including temozolomide and radiation therapy, patient prognosis remains poor. Lenalidomide, a derivative of thalidomide, is known to be an immunomodulatory agent that has been used to treat hematopoietic malignancies. There are numerous studies revealing an antitumor effect of lenalidomide in hematopoietic cells, but not in glioma cells. The present study aimed to demonstrate the antitumor effect of lenalidomide on malignant glioma cell lines. The growth inhibition of malignant glioma cells (A-172, AM-38, T98G, U-138MG, U-251MG, and YH-13) by lenalidomide was assessed using a Coulter counter. The mechanism of the antitumor effect of lenalidomide was examined employing a fluorescence-activated cell sorter, western blot analysis, and quantitative real-time reverse transcriptional polymerase chain reaction (RT-qPCR) in malignant glioma cell lines (A-172, AM-38). The results revealed that the number of malignant glioma cells was decreased in a concentration-dependent manner by lenalidomide. DNA flow cytometric analysis demonstrated an increase in the ratio of cells at the G0/G1 phase following lenalidomide treatment. Western blot analysis and RT-qPCR revealed that p53 activation and the expression of p21 were increased in glioma cells treated with lenalidomide. Western blot analysis revealed that cleavage of PARP did not occur; however, increased expression of Bax protein, cleavage of caspase-9 and cleavage of caspase-3 were confirmed. Analysis by FACS also supported the conclusion that little apoptosis induction occurred following lenalidomide treatment of malignant glioma cell lines. In conclusion, lenalidomide exerts an antitumor effect on glioma cells due to alterations in cell cycle distribution.
Lithium Based Electrolytes in Electrochemical Energy Storage Devices- A Review

Introduction Energy conservation has served as a theme of discussion in most of the World Forums since the past few decades. The process of sufficing the increasing energy demand that is prevalent round the globe has many challenges to overcome. The key challenges worth mention are conversion and storage of electrical energy. This scenario has been put to rescue with the invention and commercialization of electrochemical energy storage technologies based on batteries. This technology has gained universal acceptance as a prominent solution to the challenge of rapidly increasing demand for energy. Further, the Li-ion technology in battery systems is yet sophistication in the field, as they exhibit increased viability and integrate the renewable resources that provide intermittent energy to the grid. Lithium based rechargeable batteries are deemed a boon with appealing features that promote efficiency in the usage of devices. This article attempts to explore research in the field of energy storage systems. Interdisciplinary areas of research leading to the development of ionic technologies are known as Solid State Ionics (SSI) which deals with the properties of ionic solids. The demands for thin-film applications clearly differ from that of the conventional batteries. Biopolymers (like cellulose derivatives, chitosan, and starch or natural rubber) have been mainly focused because of their good physical and chemical properties, biodegradability, cost, good performance and low production [1]. The development of polymer electrolytes has different stages with different behavior namely solid polymer, gel polymer, and composite polymer electrolytes. In the former electrolyte the host polymer itself is used as a solvent (solid) along with lithium salt without containing any organic liquids. However, these polymer electrolyte systems present very low ionic conductivity at ambient temperature [2]. With relation to green chemistry very interesting substitutes for synthetic polymers are natural polymers. The polymer hosts in inorganic salts have ease dissolution when the dielectric constant (e) of the polymer is high and the lattice energy of the salt is low [3]. The electrolytes were also tested as ionic conductors in electro chromic devices. Abstract
Do Female Occupations Pay Less but Offer More Benefits?

Workers in predominantly female occupations have, on average, lower wages compared to workers in predominantly male occupations. Compensating differentials theory suggests that these wage differences occur because women select into occupations with lower pay but more fringe benefits. Alternatively, devaluation theory suggests that these wage differences occur because work performed by women is not valued as highly as work performed by men. One theory assumes that workers choose between wages and benefits. The other assumes that workers face constraints that restrict their wages and benefits. To examine whether female occupations pay less but offer more benefits, I used individual-level data from the Medical Expenditures Panel Survey and occupation-level data from the American Community Survey and from the Occupational Information Network. Contrary to compensating differentials theory, results from multivariate regression analysis provide little evidence that benefits explain wage differences between male and female occupations. Instead, consistent with devaluation theory, workers in female occupations are less likely to be offered employer health insurance coverage and are less likely to have retirement plans compared with workers in male occupations.
Colaboraciones exitosas entre tres instituciones mexicanas en el estudio de las dislipidemias, la obesidad y la diabetes

Objetivo: Describir las contribuciones de tres instituciones mexicanas (Instituto Nacional de Ciencias Medicas y Nutricion “Salvador Zubiran”, Universidad Nacional Autonoma de Mexico y Centro de Encuestas Nacionales de Salud del Instituto Nacional de Salud Publica) en el estudio de las enfermedades cronico-degenerativas. Resultados: Entre las aportaciones destacan la descripcion de un alelo de riesgo para tener diabetes y el sindrome metabolico (R230C del transportador ABC-A1) especifico para la poblacion mexicana, una herramienta para estimar la probabilidad de tener diabetes a siete anos, la descripcion de la epidemiologia molecular de la hipercolesterolemia familiar en adultos mexicanos y la identificacion de varias regiones cromosomicas asociadas con la hiperlipidemia familiar combinada, asi como la contribucion a la descripcion de la epidemiologia de la diabetes, el sindrome metabolico y las dislipidemias en nuestro pais. Conclusiones: La conjuncion de intereses y la vision complementaria de los investigadores de las tres instituciones han hecho posible una serie de colaboraciones exitosas. La informacion generada sera de utilidad para el desarrollo de pruebas diagnosticas y para la planeacion de programas preventivos
Investigation of Consumers’ Trends Concerning Honey Supply. A Case Study in Central Greece

Honey is an important element of human diet and since ancient times is considered an essential source of food. The aim of the study is to identify the factors that: 1) affect consumer behavior towards honey, 2) are related to the honey purchase from the supplier, and 3) can predict the intention to buy honey directly from the producer including those in street markets. The research objectives were achieved by investigating a representative sample of subjects from the region Attica, Central Greece. A quantitative primary survey was carried out with 138 honey consumers as participants. Among the conclusions derived from the statistical treatment of the collected data are the facts that women and people with a higher educational level prefer buying honey directly from the producer in street markets as well as participants with high monthly income and high educational level, consume high quantities of honey.
A Comparison of High-Speed Polynomial Multiplication Algorithms for Modern Cryptosystem

: In the present world, applications of digital communication have increased day by day. Hence more care should be taken with security issue of digital communication network such as online money transaction, data communication over internet, LAN, MAN network etc. So, it is very helpful to transmit information via secure network. So, it is essential to make a crypto-system which enable encryption and decryption of data. This Paper explores efficient hardware architectures for polynomial multiplication for modern cryptography like Ring-LWE, SHE etc. The hardware Architectures are based on FFT algorithm. All architecture uses polynomial modular multiplication based on FFT which makes the processing time faster and used comparatively smaller amount of space in the FPGA. Each block is coded with Verilog high description language and it is synthesized and simulated using Xilinx-ISE14.7.
Glaucocalyxin a A and FasL and Apoptosis Induction through the JNK Pathway in Human Breast Cancer Cells

Breast cancer is the most common malignant tumor in women in recent years. It is estimated that more than one million new cases of breast cancer are diagnosed every year in the world, and that about half of these patients would die of this disease. Estrogen therapy is frequently used in the early-stage of breast cancer (Jemal et al., 2011). However, because of the drug resistance, breast cancer is highly resistant to estrogen as the pathology progresses (Miyoshi et al., 2010). Radiotherapy is also used after breast-conserving surgery to decrease the chance of recurrence (Veronesi et al., 2010). Nevertheless, novel therapies and chemo-therapeutic drugs are urgently needed to be developed for the treatment of breast cancer. Apoptosis, which is characterized by cytoplasmic shrinkage, chromatin condensation and DNA fragmentation, is an active form of cell death that occurs in response to several agents, including anticancer chemotherapeutic drugs (Lawen et al., 2003). Many biomarkers and events, such as the caspase family proteins and Bcl-2 family members, could be considered as the determinants of apoptosis (Antonsson et al., 2000). The abnormal production of the molecule may trigger redox signaling pathways, such as oxidative stress, cell cycle arrest and apoptosis (Zhang et al., 2013).
CD44 expression in stem cells and niche microglia/macrophages following ischemic stroke.

Background CD44, an adhesion molecule in the hyaluronate receptor family, plays diverse and important roles in multiple cell types and organs. Increasing evidence is mounting for CD44 expression in various types of stem cells and niche cells surrounding stem cells. However, the precise phenotypes of CD44+ cells in the brain under pathologic conditions, such as after ischemic stroke, remain unclear. Methods In the present study, using a mouse model for cerebral infarction by middle cerebral artery (MCA) occlusion, we examined the localization and traits of CD44+ cells. Results In sham-mice operations, CD44 was rarely observed in the cortex of MCA regions. Following ischemic stroke, CD44+ cells emerged in ischemic areas of the MCA cortex during the acute phase. Although CD44 at ischemic areas was, in part, expressed in stem cells, it was also expressed in hematopoietic lineages, including activated microglia/macrophages, surrounding the stem cells. CD44 expression in microglia/macrophages persisted through the chronic phase following ischemic stroke. Conclusions These data demonstrate that CD44 is expressed in stem cells and cells in the niches surrounding them, including inflammatory cells, suggesting that CD44 may play an important role in reparative processes within ischemic areas under neuroinflammatory conditions; in particular, strokes.
Knowledge, Attitudes, and Practices (KAP) on Asthma among Thai Adults: A Case Study in Ratchaburi Province, Thailand

The objectives of this study were to explain the demographic characteristics, knowledge, attitudes, and practices of preventive behaviors of Thai adults with asthma at Ratchaburi province, Thailand, and to identify the relationship among these variables. It was a cross-sectional study with 441 samples who were aged over 18 years old. Data collection was between February to March 2011. Descriptive statistics was employed (frequency, percentage, mean, standard deviation) and Chi-square Test was used to find the relationship among demographic characteristics, knowledge, attitudes, and practices of preventive behaviors regarding asthma. The results showed that 55.1% of the subjects were females and 44.9% were males, majority of the respondents (79.6%) were aged between 18-59 years old. More than half (54.0%) were married, and 53.1% were in the range from 3 and 4 persons in the family. Most of subjects (68.3%) had secondary school or higher education. In terms of occupation, 31.3% of the subjects were agricultural workers. Forty two percent of the subjects had an income less than 10,000 baht per month, while 54.8% had a monthly expenditure less than 10,000 baht. Most subjects (68.8%) had been suffering for asthma mostly between 2-9 years. The result also found that 78.9% of the subjects were non-smokers. Among the total samples, 90.0% did not have a check on peak expiratory flow (PEF) to control asthma symptoms. Regarding level of KAP, 20.9% of the subjects had high level of knowledge of asthma, 68.5% had low level of attitudes, and 32.4% had high level of practice. There was an association between knowledge and attitude (p<0.001), knowledge and practice (p<0.001), and attitudes and practices (p<0.001). The result of the study can be used as a baseline data for further studies to prevent asthma symptoms among Thai adults.