Miracle-dz/UniFAR-FTUs huggingface dataset:
Rainfall-Runoff Simulation using Remote Sensing and GIS Tool (SWAT Model) (A Case Study: Xebanghieng Basin in Lao PDR)

The Arc-SWAT model was applied to the Xebanghieng (XB) river Basin for modeling of the hydrological water balance. The primary objective of this study was to assess the water availability in the basin and feasibility of the SWAT model for prediction of main stream flow which is available for gauging site and which is not available so far for gauging site in the Basin. The water balance modeling was performed on annual, monthly and daily basis using spatial and temporal data of surface runoff. The model was calibrated and validated in main stream in lower part of XB River using SUFI-2. The sensitive analysis of the model to sub basin delineation and HRU( hydrologic response unit) definition thresholds showed that the flow is more sensitive to the HRU definition thresholds than sub basin discretization effect. SUFI-2 gave good result during calibration period. Coefficient of determination (R 2 ) criterion, Nash and Sutcliffe efficiency (NSE) were adopted to see performance of the model during calibration and validation period. Study indicated that due to high intensity of precipitation and good water retention capacity, the study area has high potential for agricultural activities. Keywords: Xebanghieng River, GIS, SWAT, Runoff
News Construction on the Pivots of Framing and Ideology: A Theoretical Perspective

This paper reviews framing and the concept of ideology as imperatively intertwined theory in the construction of news by the media. It further explores each theory as independent media pivot in news making, and presents their coupling as a consequence of the inevitable link. The paper also interrogates the two- framing and ideology- as connected concepts that are rarely interrogated in media studies but nevertheless influence the construction of new stories. The paper further indicates that the coupling of the concepts is further grounded on the social construction theory, positioning the argument that news production and its consequential framing is based on constructivism. The paper contends that when such mode of construction becomes embedded, reified and routinised in the newsroom, a journalistic ideology is forged and established that, consequentially, provides deterministic dominant modalities through which events, issues and personalities are framed and understood by the media. In particular, where the voices of the elites, through the journalist’s appropriation of official discourses, become the sustaining dominant, authentic, credible, and authoritative voices of news framing and construction, a news framing ideology becomes established; and all events, policies, and issues become constrained of extra interpretation except that which suits the journalistic ideological cause. Keywords : framing, ideology, news construction, media, official discourses, journalistic ideology DOI : 10.7176/RHSS/9-2-06
Drug Discovery Based on Microbial Metabolism and Communities

Citation: Dr. Dipesh Dhakal and Dr. Jae Kyung Sohng. “Drug Discovery Based on Microbial Metabolism and Communities”. EC Microbiology SI.01 (2017): 06-09. Natural products (NPs) are already recognized as a prominent source of compounds with pharmacological values, thus established as the best starting point in drug discovery process [1,2]. Generally these compounds are biosynthesized by plants and microorganisms through versatile metabolic pathways [3]. They are often termed as “secondary metabolites(SM),” since they are synthesized by producer organism but are not essential for their own metabolic processes [4]. These SM or their derivatives are commonly utilized as “drug leads” for the ailment of different disease conditions. Generally they exhibit diverse pharmacophores containing high degree of stereochemistry, but still there is demand of novel NPs with better activities or novel mechanism of action [5,6]. Recently, versatile approaches utilizing synthetic-biology tools, system-biology guided metabolic engineering techniques and enzymatic modifications are utilized for maximizing the applications of such NPs [5,7-9]. Furthermore, the maximal use of such microbial NPs can be improved with considerable efforts on precise screening, higher production, and defined structural variations based on structure-activity-relationship [10,11].
The effect of poultry manure and NPK fertilizer on yield and yield components of crops based on different cropping systems in south west Nigeria

Field experiments were conducted in two villages (Oniyo and Moloko Ashipa) representing two agro ecologies in the south west area of Nigeria during 2000 and 2001 cropping seasons. The objective was to determine the effects of NPK fertilizer and poultry manure on the yield and yield components in cassava/maize/melon systems. The factors were (1) cropping systems: cassava/maize/melon, sole cassava, sole maize and sole melon; and (2) fertilizers: no fertilizer, NPK 15-15-15 (400 kg/ha), poultry manure (5 t/ha), 2.5 t/ha poultry manure + 200 kg/ha NPK 1515-15 and mineral fertilizer (NPK 15-15-15). Intercropping had no significant effect on cassava root yield but it reduced maize and melon seed yield compared to sole cropping. Land equivalent ratio (LER) values were however higher under intercropping than sole cropping. Crop yields were statistically the same under NPK alone and NPK + poultry manure but significantly higher than both poultry manure alone and control in both locations.
Grid Computing Models for Discovering the Resources

– Grids are geographically distributed platforms composed of heterogeneous resources that users can access via a single interface, providing common resource-access technology and operational services across widely distributed and dynamic virtual organizations, i.e., institutions or individuals that share resources. Resources are generally meant as reusable entities employable to execute applications, and comprise processing units, secondary storage, network links, software, data, special-purpose devices, etc. Resource discovery in grid systems is a fundamental task which provides searching and locating necessary resources for given processes. There are many different approaches in literature for this problem. In this paper we propose a survey of different grid resource discovery techniques which are widely used approaches that has resulted in many tools to become de facto standards of today’s grid resource management. We also give a comparative study of different resource discovery techniques.
A Review on Anticancer Natural Drugs

Cancer is a major public health burden in both developed and developing countries. It is an abnormal growth of cells in body that can lead to death and globally the numbers of cancer patients are increasing day by day. There are several medicines available in the market to treat the various types of cancer but no drug is found to be fully effective and safe. Many natural products and their analogues have been identified as potent anti-cancer agents and day by day the anticancer property of various plants is being identified. New drug discovery is time consuming & laborious process. So the anticancer activity of certain natural products and their analogs can be enhanced by synthesizing new derivatives based on active pharmacophore models; drug resistance & solubility & metabolic limitations can be overcome by appropriate molecular modification. Medicinal plants with their isolated lead molecules are also used as an alternative medicine for treating neoplastic cells. Neoplastic cells are the anomalous proliferation of cells in the body which cause cancer. Diverse efficient compounds derived from natural products have been isolated as anticancer agents. There chemical compounds are formulated with a view to create effective drugs against cancer.
L-ARGININE DOWN-REGULATED TNF-ALPHA GENE IN LPS INDUCED INFLAMMATION IN EXPERIMENTAL RATS

Lipopolysaccharide (LPS) induced the overexpression of a large amount of inflammatory mediators such as TNF-alpha and IFN-gamma which induced the transcription of inducible nitric oxide synthase (iNOS). L-Arginine modulates the action of NO and could be control the inflammation process. This study was conducted to elucidate the importance of L-Arginine as immunomodulator upon intraperitoneal injection of rats with potent inflammatory inducer, LPS and to deduce the exact mechanism by which L-arginine modulate or activate the immunity system either through induction of nitric oxide synthase (NOS) or arginase pathway. To evaluate these objectives, 5 groups, were intraperitoneally injected as follow; Control group), protection group: injected with 10 mg/kg L-Arginine for 7 days then once injected with 4mg/kg LPS, treatment group: injected with LPS followed by L-Arginine, Inhibition group: injected sequentially with LPS, LArginine and 10mg/kg NG nitro L-Arginyl methyl ester (L-NAME), and finally induction group injected with LPS only. Cytokines IL-6 and IL-1b levels were estimated by using ELISA while TNF alpha was estimated by qPCR. Furthermore, hepatic, renal functions and oxidative stress parameters were estimated colorimetric. Our results showed that, the level of total plasma nitrite was increased in both treatment and protection group and decreased in the inhibition group. Moreover, the level of pro-inflammatory cytokines (IL-1B, IL-6 and TNF ejpmr, 2015,2(5), 01-19 SJIF Impact Factor 2.026
Positive effects of Green Tea ( Camellia Sinensis ) on Hepatic Dysfunction induced by lead Acetate in Male Rat www . ijddr . in

Corresponding Authors: naithamadouche@live.fr Abstract: Green tea, consumed worldwide since ancient times, is considered beneficial to human health. The present study aimed to evaluate the effect of green tea extract (GTE) on liver damage in male rats treated with lead acetate. Three groups of rats were used in the study. Lead and GTE was given orally to the rats with drinking water for 4 weeks. Lead concentration in the digested tissues of liver was detected using atomic absorption spectroscopy. After the experimental period, small pieces of the liver tissue were taken and prepared for purpose of the histological and histochemical examination. The activities of glutathione-Stransferase (GST) and superoxide dismutase (SOD) were used as markers to evaluate the anti oxidant status of tissues. The results revealed that enhancement of lead acetate produces sever alterations in the hepatic tissue. It ascribed disturbances in hepatic architecture besides liver cells appeared hypertrophy correlated with necrotic nuclei. Congested blood sinusoids with leucocytic infiltration were apparent. Hepatocytes induced poor glycogen storage. Lead exposure was found to attenuate the antioxidant potential of liver, which was however augmented when supplemented with green tea extract. Liver enzymes ALT, AST and ALP and serum protein determinations indicated the protective effects of green tea extract. It was concluded that GTE is an important appropriate anti-oxidant improving the Pb toxicity. However, although all the evidence from research on green tea is very promising, future studies are necessary to fully understand its contributions to human health.
Location Based Sentiment Analysis of Twitter Data and Decision Making

: We are in the decade where social networking sites have become significant and necessary in our day to day life right from day to dawn. This sites has been proved a blessing to improve one’s knowledge in any field. Not only entertainment but also it helps identifying one’s ideas, tweets are labeled into positive, negative or neutral indicators. This paper provides mechanism to perform opinion mining from real time knowledge from twitter. Twitter is a treasure of surfers’ opinion on various aspects of day to day activities everyday. This data of surfers opinion can be efficiently used for marketing, social studies or sentiment analysis. This is a work which aims to develop an application with a novel user interface to search and analyze the real time location based social media data to quantify the sentiments related to the event or product of users interest for this purpose this research has combined sentiment analysis , location based system and machine learning approach. This research work uses publically available social media data. The main contribution of this research is the integration of sentiment analysis on location wise collected twitter data
Predictive value of preoperative weight loss on survival of elderly patients undergoing surgery for esophageal squamous cell carcinoma

Background The role of preoperative weight loss (PWL) has rarely been studied in elderly patients undergoing surgery for esophageal squamous cell carcinoma (ESCC). The aim of this study is to evaluate whether PWL is an important determinant of survival in elderly patients following surgery for ESCC. Methods This retrospective study included a total of 974 elderly patients (≥65 years) who underwent esophagectomy for ESCC at the West China Hospital, Sichuan University from August 2005 to April 2013. PWL was determined as the percentage weight loss during the 3 months before admission. Patients were divided into three groups according to the PWL, defined as normal (PWL =0), slight PWL (0< PWL <10%) and severe PWL (PWL ≥10%). Prognostic factors were evaluated by using univariate and multivariate analyses. Results Patients were categorized as normal (n=605, 62.11%), slight PWL (n=284, n=29.17%) and severe PWL (n=85, 8.73%). Compared with patients without PWL, both the patients with slight and severe PWL suffered from higher risk of tumor depth invasion (P=0.002 and P<0.001, respectively), lymph node metastasis (P=0.009 and P=0.004, respectively) and advanced stage (P=0.006 and P<0.001, respectively). Both patients with slight and severe PWL were significantly associated with worse overall survival compared with patients without PWL (P=0.036 and P<0.001, respectively). Multivariate analysis revealed severe PWL was an independent prognostic factor of overall survival [hazard ratio (HR) =1.534, 95% CI: 1.163–2.024] after correcting for sex, body mass index (BMI), T stage, N stage, grade, and adjuvant therapy. Conclusions For elderly patients undergoing surgery for ESCC, PWL provided prognostic value for depth of tumor invasion, lymph node metastasis and advanced stage. PWL ≥10% was an independent predictor of worse overall survival.
An Enhanced Supervised Random Walk Algorithm for Link Prediction

The problem of link prediction is to predict the links that does not exists and have the probability to occur in the near future. A random walk is a mathematical formalization of a path that consists of a succession of random steps. Node and link attributes along with node structure information are used for prediction. Supervised random walks are trained on a single snapshot of a graph at time t0 and immediately tests on its predictions for new links from a source node s at time t1. This paper presents an enhanced new link representation model based on implicit user feedback obtained from search engine using K-SVM queries. The main objective this approach is to achieve better results in supervised tasks, such as clustering and labelling, through the incorporation of usage data obtained from search engine queries. This type of model allows a user to discover the motivations of users when visiting a certain topic.
Firefly Algorithm Based Power Economic Dispatch of Generators Using Valve Point Effects and Multiple Fuel Options

251 Abstract—The major issue in power system is power economic dispatch (PED) problem. Mainly it is an optimization problem and to reduce total generation cost of units is its main objective, while satisfying constraints. Most of the classical problem formulation in PED problem presents deficiencies due to the simplicity of the cost models. Here, the power economic dispatch problem formulation takes in to account of non-smooth fuel cost function due to valve point effects and multiple fuel options and making this to a real world problem. This paper introduces a solution to this power economic dispatch problem using Dr. Xin-She Yang developed firefly algorithm. The proposed approach has been examined and tested with the numerical results of PED problems with ten-generation units including valve-point effects and multiple fuel options. The test results clearly show the effectiveness of proposed approach for solving PED problems. Also we will compare the proposed firefly algorithm with Self-Adaptive Differential Evolution (SDE) algorithm in order to reveal that it is capable of getting good quality optimal solutions with proper adjustment of parameters.
A Novel Multi View Clustering Technique for Group the Data Objects in Process Mining

: Clustering is the process of grouping objects based on some notion of similarity. It is commonly applied for exploratory analysis, segmentation, pre-processing and data summarization. Similarity is dependent on the features describing data. Clustering ensembles are a common approach to clustering problem, which combine a collection of clustering into a superior solution. The key issues are how to generate different candidate solutions and how to combine them. Common approach for generating candidate clustering solutions ignores the multiple representations of the data and the standard approach of simply selecting the best solution from candidate clustering solutions ignores the fact that there may be a set of clusters from different candidate clustering solutions which can form a better clustering solution. Multi view clustering can be applied at various stages of the clustering paradigm. This paper proposes a novel multi-view clustering algorithm that combines different ensemble techniques via various similarity metrics have been used to measure the similarity between data objects. In the novel multi view clustering algorithm contains mainly two techniques; the first technique is used to generate multiple partitions from each of the single view of a multi-view dataset. After completion of multi view of data set we can perform the clusterization process on multi view data set.
CORRELATION OF PHYSICAL ACTIVITY WITH BALANCE AND GAIT PARAMETERS IN ELDERLY INDIVIDUALS (60-70 YEARS): A CROSS-SECTIONAL STUDY

Healthy aging reflects the interactions between individuals and the environments, resulting in trajectories of both intrinsic capacity and functional ability. The study was conducted with the aim to examine correlation of physical activity with balance and gait parameters in 91 elderly individuals. The inclusion criteria of the study was individuals willing to participate, able to ambulate > 10 feet without an assistive device or physical assistance, age group 60-70 years, both the genders. Pearson product-moment correlation coefficient test was used to know the correlation of physical activity (International Physical Activity Questionnaire) with balance (Timed Up and Go test) and gait parameters (gait speed, stride length) in elderly individuals. In the cross-sectional study, physical activity was moderately correlated with balance (r= -0.5692) suggesting that, as physical activity increases there is better balance of the elderly individuals. Also gait parameters; gait speed and stride length was found moderately correlated with physical activity highlighting the association between the variables. However, the results showed difference in the moderate correlation present in backward and forward walking gait parameters of the normal elderly individuals. The study showed the importance of physical activity in the elderly individuals as it is related to two important aspect of the aging process the balance and gait parameters; both being essential in activities of daily living. Future longitudinal studies can be considered to know the causal relationship between the variables.
Edutainment for Effective Teaching and Learning of Digital Natives

: This paper studies an effort to enhance the teaching and learning of Digital Natives (ages below 36 years old or born after the year 1980). It explores the concept and current meaning of Edutainment with a focus on a game called QR IT Seek, developed with consideration of the specific characteristics of Digital Native learners who are the future workforce of a nation. The paper endeavors to respond to the demands of the Digital Natives who are distinctly different from the previous generations. The pressure exists for teaching and delivering concepts to the younger generation due to these characteristics. Hence, it is vital for educators of higher learning to develop innovative methods of teaching tertiary education materials and rediscover the concept and application of Edutainment. The need for this study and its findings is enhanced because without attention given to the specific needs of these students at institutions of higher education today, there would be significant impact on the achievement of learning outcomes and result in long term global consequences in this borderless world.
Expressions of C-erbB2 and C-myc in Esophageal and Gastric Cardia Multistage Carcinogenesis from the Subjects at High-risk Area in Linxian, Northern China

~ Abstract: Linxian and nearby counties in Henan Province, northern China have been well-recognized as the highest incidence area for both esophageal squamous cell carcinoma (SCC) and gastric cardia adenocarcinoma (GCA). The molecular mechanism for SCC and GCA is largely unknown. Recent studies indicate that aberrations of DNA copy numbers at 8q and 17p in which the genes of Gmyc and C-erbB2 reside, are very common events in SCC and GCA from the patients in Linxian. The present study was undertaken to characterize the changes of C-erbB2 and C-myc in protein level on the subjects with different esophageal and gastric cardia precancerous and cancerous lesions from Linxian. In the study, 144 samples were collected, including 30 SCC and 30 GCA from Linxian Esophageal Cancer Hospital and 84 biopsies from symptom-free subjects (16 cases with normal esophageal epithelia (ENOR), 34 with esophageal basal cell hyperplasia (BCH), 8 with esophageal dysplasia (EDYS), 7 with normal gastric cardia epithelia (GNOR), 6 with chronic superficial gastritis (CSG), 10 with chronic atrophic gastritis (CAG), and 3 with gastric cardia dysplasia (GDYS». The avidin-biotin-peroxidase complex (ABC) method was performed for the expre-'ision of C-erbB2 and C myc. No immunoreactivity was observed for C-erbB2 in normal esophagus, BCH and EDYS. However, 50% of SCC was positive for C-erbB2 immunostaining. In contrast, positive immunostaining for C-myc was observed in normal esophageal epithelia and different lesions. With lesions progres.sed from ENOREDYS-SCC, the positive immunostaining rates for C-myc increased apparently. In gastric cardia, positive immunoreactivity for both C-erbB2 and C-myc was observed in normal gastric cardia epithelia and different lesions. With the le-sions progre&'ied from GNOR-CSG-CAG-GDYS-GCA, an apparent increasing tendency was observed for both C-erbB2 and C-myc. In gastric cardia multistage carcinogenesis, the positive immunostaining rate for C-erbB2 and C-myc was much higher than in esophagus. The present results demonstrate that the immunostaining patterns for C-erbB2 and C-myc are different between esophageal and gastric cardia carcinogenesis from the population at same high-risk area in Linxian. Overexpression of both C-erbB2 and C-myc is a common event in gastric cardia multistage carcinogenesis, which may be a promising early biomarker for gastric cardia carcinogenesis. C-erbB2 may be a late event for esophageal carcinogenesis. [Life Science Journal. 2006; 3(3): 6 12J (ISSN: 1097 8135). ) J ]