Miracle-dz/UniFAR-FTUs huggingface dataset:
A Novel Approach for Identification of Karaka Relations using Semantic Role Labeling Method

An NLP system consists of a grammar and procedural components. The grammar is used by the procedural components in performing analysis, generation, etc . In our work, we also talked about how we can extract the grammatical information. This information includes karaka relations. For this purpose, we find out the issues that come while finding karaka relations and then resolve them with semantic role labeling method. To identify karaka relations in English is very difficult task due to its fixed word order. This paper describes the semantic role labeling method to resolve the issues for identifying karaka relations.
Practical English to Arabic Machine Translation System by Applying Rules-Based Method

: English-Arabic Machine translation systems have been taking place in machine translation projects in recent years and so, many projects have been carried out to improve the quality of translation into and from Arabic. This research focuses on machine translation from the source language (English) to the target language (Arabic) using an English-Arabic electronic dictionary. The challenges of this research are the difficulty of delivering the appropriate meaning of the source language (SL) in the target language (TL), different sentence structure between two languages, word agreement, ordering problem, verbal forms and linguistic structures. The aim of this research was to design and build an automatic translation system from English to Arabic based on a dictionary of English roots using rule-based method. The proposed machine translation system uses a transfer strategy which is divided into three phases: analysis, transfer and generation of sentences in the target language. The system was evaluated by selecting a set of English language sentences to cover all the structures of sentences as a first stage, and then selecting another set of long sentences that contained more than one structure. All the results of the system were compared with the results of the various translation web on the Internet. that the most of natural language processing researchers build their systems on small or virtual dictionaries containing a few words and reserve few number of properties of those words.
Performance Review System – An ERP Application with Secure Data Storage and Cloud Backup

: Traditionally we have seen that ERP systems are developed using Row-oriented database system. Our project tries to implement column-oriented approach in development of ERP systems. The system which we are trying to develop is Employee Performance Review System. Modern software applications (ERP application in this case) are highly data-centric. As data is highly sensitive security is primary concern, we are trying to increase randomness of the encryption algorithms so as to increase the level of the data security. Loss of important data can affect business process. Hence we provide the data backup using cloud so that in case of application failure the important data needed for business decision making is not lost.
A Comprehensive Literature Survey of Context-Aware Recommender Systems

— Recommender systems are tools that assist users in finding products and services on the web and personalize the recommendation accordingly. Collaborative filtering (CF) is the most widely used traditional technique of recommender systems that predict preference of users based on user-item rating model and make proper recommendations. However, many research findings believed that beyond user-item ratings, enhancing the recommendation process by incorporating contextual information, such as location, time, emotions etc, helps to generate accurate recommendations and these are called Context-Aware Recommender Systems (CARS). This paper surveyed the background, the framework, the types of algorithms and other contribution of state-of-the-art researchers in the area of Context-Aware Recommender Systems.
Optimizing seedling age of promising rice genotypes in rainfed environment

To determine optimum seedling age and characterize the effect of seedling age on the performance of the rice genotypes, the experiment was conducted during wet season of 2010 and 2011 at Bangladesh Rice Research Institute, Regional Station, Rajshahi. Strip plot design was followed with 3 replications, placing treatments (seedling age such as 14, 21, 28 and 35-d old) in vertical plots and genotypes (BRRI dhan56, BRRI dhan57, IR83377-B-B-93-3, IRRI123, IR83381-B-B-6-1 and Binadhan-7) in horizontal plots. Seedling age had strong significant effect on yield, yield components and agronomic parameters. Transplanting of 14-d old seedlings gave the highest grain yield that was at par with 21-d old seedling, however, significantly higher than 28 and 35-d old seedlings. Mean grain yield were increased by 21.9, 20.5 and 12.2% in transplanting of 14, 21 and 28-d old seedlings over 35-d old seedlings. Reversely, yield declined by 1.7, 11.2 and 21.9% in 21, 28 and 35-d old seedlings over 14-d old seedlings, across the cropping years and genotypes. Across the seedling ages, the genotype IR83377-B-B093-3 produced the highest mean -1 -1 -1 grain yield (4.88 t ha ) which was at par with IRRI 123 (4.82 t ha ) and the lowest was in BRRI dhan57 (3.73 t ha ). Interaction between genotypes and seedling ages showed that BRRI dhan56, BRRI dhan57 and IR83381-B-B-6-1 produced higher yield from 14 to 21-d old seedlings while Binadhan-7 gave at par yield from 14 to 28-d old seedling. In contrast, grain yield of IR83377-B-B93-3 and IRRI 123 was statistically similar throughout the seedling age from 14 to 35-d old. Days to flowering and maturity increased 12 to 14 days from 14 to 35-d old seedlings. Spikelet sterility also increased by 18 to 23.1% from 14 to 35-d old -2 -1 seedlings. In contrast, Plant height, tillers and panicles m , grains panicle , 1000-grain weight, straw yield and total above ground biomass were declined with increased seedling age.
Secure Reliable Reactive Routing Enhancement In Wireless Sensor Networks

: Rendering reliable and efficient communication along with security under losing channels is one among the major technical challenges in wireless network, especially in industries with vital and severe environments. In this task, illustrated a scheme to raise the resilience to link dynamics for Wireless Web, R3E is designed to enhance existing reactive course-plotting protocols to provide reliable and energy-efficient packet delivery against the unreliable cordless links by utilizing the local path diversity. Security is the major challenge with the R3E approach. Security with R3E is to be rendered with the range of the threshold, calculated at every node in the network. Proposed mechanism confirms reliable and secure path from source to destination by removing malicious nodes in the network.
Effects of addition of fentanyl and midazolam to local anaesthetic in lumbar epidural anaesthesia for infraumbilical surgeries

Introduction: Compared to general anaesthesia, regional anaesthetic techniques are more preferred in lower limb and lower abdominal surgeries as they have many advantages. Fentanyl a short acting opioid agonist, acts at µ receptor which is hundred times more potent than morphine. Fentanyl has many advantages compared to morphine because of its rapid onset of action and superior intra operative analgesia. Midazolam has an analgesic action by its action on the benzodiazepine GABA A receptor. Aim: The primary aim of the study was to compare the effect of two adjuncts to 0.5% bupivacaine through epidural anaesthesia. The study was directed towards the patients posted for infra umbilical surgeries. Materials and Methods: This study is conducted at Rajah Muthiah Medical College Hospital from august 2015- march 2016. Fifty patients posted for elective infra umbilical surgeries were divided into groups of 25 each. Group F received 18ml of 0.5% bupivacaine with 2 ml containing 100µg fentanyl and group M received 18ml of 0.5% bupivacaine with 2 ml of 2mg midazolam. Results: Both the groups maintained haemodynamic stability. Onset of sensory block was faster in group F (6.40 min) compared to group M (10.00min) which was statistically significant. The two segment regression time was found to be 150.8 min in group F compared to 147 min in group M. The mean duration of postoperative analgesia was significantly prolonged in group F (293.20min) when compared to group M (224.60min) with significant P value (0.05) Conclusion: Patients of fentanyl group exhibited prolonged duration of analgesia in comparison to midazolam group. Therefore fentanyl is more suited to midazolam in providing prolonged postoperative analgesia. Epidural fentanyl also produced faster onset of sensory blockade. There were no significant haemodynamic changes in both the groups. The occurance of nausea and vomiting was managed with a single dose of antiemetic.
A DIVERSE GENERATING- CHARACTERIZED BASED CAPTURE SIMILARITIES BETWEEN CROSS-MEDIA

Based on research printed on eMarketer, about 70 5 % within the content printed by Facebook users contains photos. The most effective data from various modalities will likely have semantic correlations. Many of the existing works make use of a bag-of-words to model textual information. Because we advise acquiring a Fisher kernel framework to represent the textual information, we employ it aggregate the SIFT descriptors of images. We advise to include continuous word representations to deal with semantic textual similarities and adopted for mix-media retrieval. The dwelling block within the network located in the job may be the Gaussian restricted Boltzmann machine. However, Fisher vectors are often high dimensional and dense. It limits the usages of FVs for giant-scale applications, where computational requirement must be studied. Finally, hamming distance enables you to definitely uncover the similarities concerning the hash codes within the converted FV along with other hash codes of images. We consider the suggested method SCMH on three generally used data sets. SCMH achieves better results than condition-of-the-art methods obtaining a couple of other the lengths of hash codes. A Skip-gram model was put on produce these 300-dimensional vectors for a lot of million keywords. For generating Fisher vectors, we make use of the implementation of INRIA. During this work, we compare the important thing factor factor entire suggested approach along with other hashing learning methods. Even though the offline stage within the suggested framework requires massive computation cost, the computational complexity of internet stage is small or similar to other hashing methods.
Influence of Carmosine (E122) on oxidative stress status and the protective effect of vitamins C and E in male rats

Carmosine (E122) is a pigment structure of one of dyes type, azo (Azo food), which is widely used in ice cream, soft drinks, sauces, fish and meat as well as with desserts and others. The current study was conducted to verify the effects of different doses of the dye E122 on some calibrated physiological: (SOD, GST, GPx, MDA, NO and TAOC). The experiment included 48 rats were divided into eight equal groups (six animals in each group). The results of the present study recorded, there are a significant decrease in (SOD, GST, Gpx and TAOC) as well as a significant increase in NO & MDA in the positive control group (G3) compared with negative control group. In the same time There are a significant increase in the SOD, GST, GPx and TAOC in the groups that treated with vitamin (C and E) alone , whereas there are significant decrease in the levels of (NO & MDA) compared with positive control group.
MAC Protocols in Wireless Body Area Networks: A Review

Wireless Body Area Network (WBAN) has emerged as an advanced technology for e-healthcare where sensors are placed in, on, and around the human body to monitor various physiological signs. To design appropriate protocols in Wireless Body Area Network (WBAN), issues such as reliability, latency and energy consumption need to be considered. The MAC Layer is the most suitable layer to address these issues. To tackle these issues various MAC protocols are designed for WBAN. In this survey paper some of the protocols have been investigated, their strengths and weaknesses are highlighted and are compared on various parameters. Finally numbers of research issues are discussed for future work.
Recognition of Facial Emotions Structures Using Extreme Learning Machine Algorithm

: Recognition of natural emotions from human faces is an interesting topic with a wide range of potential applications like human-system interaction, automated systems, image and video retrieval, smart environments, and driver warning systems. Traditionally, facial emotion recognition systems have been initiated on laboratory controlled data, which is not representative of the environment faced in real-world applications. To robustly recognize facial emotions in real-world natural situations, this paper proposes an approach called Extreme Sparse Learning (ESL), which has the ability to combine and learn both dictionary (set of basis) and a non-linear classification model. The proposed approach combines the discriminative power of Extreme Learning Machine (ELM) with the reconstruction property of sparse representation to enable the accuracy of classification when presented with noisy signals and imperfect data recorded in natural settings. Additionally, this work presents a new local spatiotemporal descriptor that is distinctive and pose-invariant. The proposed framework is able to achieve the modern recognition accuracy on both acted and actual facial emotion databases.
Shape Based Image Retrieval: A Review

— Content Based Image Retrieval (CBIR) system is an approach to search images and retrieve relevant images from image databases using visual content (information) of an image. In today’s scenario, CBIR receives a query object as input and retrieves similar objects as output from an image database according to a similarity/distance measure. Generally, color, texture, shapes or any combinations of them could be used as visual contents (feature) for image retrieval. Among them, shape is one of the most important features used in CBIR. While performing Shape based retrieval, it involves three primary issues in retrieving images namely Shape Representation, Shape Matching (Similarity Measures) and Shape Indexing. Also, it is important that the descriptors need to extract the characteristics of objects being robust to image rotation, scale changes, illumination variation, occlusion, noises and change of views etc. Motivated by the above factors, this paper gives a short review involving Geometrical and Structural Shape Representation of descriptors and a few Shape Matching algorithms.
A NOVEL EFFICIENT MODEL FOR PREDICTING STUDENTS PERFORMANCE USING CLASSIFICATION METHOD

: Student performance in university courses is of great concern to the higher education where several factors may affect the performance. Currently the huge amount of data is stored in educational database these database contains the useful information for predicting student performance. In this paper , the classification rule generation process is based on the decision tree as a classification method where the generated rules are studied and evaluated. A system that facilitates the use of the generated rules is built which allows students to predict the final grade in a course under study.
Power Quality Improvement in Grid Connected System with Fuzzy Logic Controller At Distribution Level

The depletion of the fossil fuel resources and the global warming effects has led the world to think seriously of other alternative sources of energy. So renewable energy resources (RES) are being connected to the distribution systems, mostly done by using power electronic converters. But use of power electronic converters and non-linear loads like at distribution level injects harmonics, which intern cause power quality problems. Distribution static compensator (DSTATCOM) is very popular in compensating power problems for nonlinear and unbalanced loads. Any change in the load affects the DC-link voltage (DCLV) directly. Conventionally, a PI controller is used to maintain the DCLV to the reference value, but its transient response is poor. So, fuzzy logic controller is proposed which shows better dynamic response. To trigger inverter HCC is used. The proposed inverter with the control when connected to wind energy, helps the 3-phase 4-wire linear/non-linear unbalanced load at point of common coupling appear as balanced linear load to the grid. With MATLAB/Simulink simulation studies, the proposed control technique is demonstrated and evaluated here .
Skimmed milk mediated solubility enhancement of loperamide and development of mouth dissolving tablet

Purpose of current research work was to develop mouth dissolving tablets of Loperamide HCl with enhanced solubility and palatable taste. Mouth dissolving tablets of Loperamide HCl were prepared by the directcompression method. Skimmed milk was used as natural polymer. Improvement in dissolution rate of drug was observed in solid dispersion as compared to pure drug. All the batches of the tablets were preliminarily evaluated for various physical parameters such as hardness, friability, drug content, wetting time, disintegration and dissolution which were reported. Among the 6 formulations F5 showed better drug release (99.20%) and drug content (98.80%) than other formulations. Dissolution studies using the USP paddle method were performed for solid dispersions of loperamide at 37 ± 0.50oc and 50 rpm in Phosphate buffer pH 6.8. Fourier Transformer Infrared (FTIR) spectroscopy were performed to identify the Drug-Excipient interactions, hence its effect on dissolution rate. Furthermore, the drug release was found to be comparable to the marketed formulation.
A Secure Framework for Mollifying Attacks in Cloud

: The cloud computing becoming a major platform for storing the data from various organizations, instead of storing their data with them store in the cloud with this reducing the money as well as work load. We use computers to store and access the personal data as well as business information in the cloud. By this new communication and computing pattern new security issues will arise. The present data encryption techniques are not providing security from data hackers to theft the data. Especially those are performed by insider cloud provider. We introducing a new technique for providing security in the cloud, that’s a decoy technique, means fault data. Always we will watch data access in the cloud, for detecting abnormal data access, when unauthorized user is noticed will ask some security questions for verifying, we will provide a large amount of decoy data to protect the original data from the attackers, Experiments accompanied in a local file setting provide proof that this method may provide unmatched levels of user data security in a Cloud environment.
Whole Eye Optical Coherence Tomography Imaging

Many eye diseases will affect the shape and dimensions of the whole eye. For examination of ocular accommodation and pathological changes caused by these diseases, high resolution imaging of the whole eye segments OCT system is needed. However, limited by the imaging depth, traditional Fourier Domain Optical Coherence Tomography (FDOCT) can’t be used for real time whole eye segment imaging. In recent years, techniques for depth extended FD-OCT system especially for whole eye segment imaging has been developed. Application on eye parameters measurement and eye accommodation studies were successfully performed. In this paper, both of whole eye FD-OCT techniques and their application were reviewed. Potential clinical application of these techniques may be in the detection of the pathological changes of the whole eye, and whole eye segment FD-OCT system also provides a powerful imaging method for ophthalmic research, such as accommodation, ocular growth, and biometry of the eye.
Association between Single nucleotide polymorphisms in Gallinacin genes and resistance to Marek's disease in White Leghorn chicken

Gallinacins are antimicrobial peptides that play a significant role in innate immunity in chicken. The aim of this study was to determine the relationship between candidate genes of innate immunity and resistance to Marek's disease and to predict whether the amino acids substitutions lead to produce new phenotypes. We used in current study two inbred lines of White Leghorn chickens, line 6 which selected for resistant to Marek's disease and line 7 which selected to susceptible to Marek's disease from ADOL, ARS,USDA. We examined Gal-1 and Gal-2 in current study by sequenced a 1.38 kb in two directions from two inbred lines (6 and 7). A total of 6 SNPs were identified within the sequenced regions. This equates to an SNP rate of 4.34 SNPs/kb, nearly to the previously reported 5 SNPs/kb across the entire chicken genome. The current study showed that the gallinacin genes are polymorphic because there are many single nucleotide polymorphisms (SNPs) in both inbred lines of White Leghorn chickens and some of these SNPs are nonsynonymous and others are synonymous and some of them are located in intronic region and the rest are in exonic region. All identified SNPs were intronic; except for Gal-1 was exonic resulting in amino acids changes which have a non-synonymous SNP resulting in amino acids alterations of asparagine to serine, histidine to tyrosine and tyrosine to serine, respectively. From SIFT (Sorting Intolerant from tolerant) program which used to predict whether an amino acids substitutions can affect protein function resulting in phenotypic effect , that is may be made the inbred line 7 of White Leghorn chickens are susceptible to Marek's disease rather than line 6. We are concluded that a new chromosomal region with effects on the response to Marek's disease in chickens was characterized in this study. Within this region, the SNPs in the gallinacin candidate genes could potentially be used in a marker assisted selection program to enhance the response to Marek's disease. Analysis of the gallinacin genes in the protective pathways of disease resistance has also opened the possibilities for therapeutic strategies using endogenous antimicrobial peptides. [Journal of American Science. 2010;6(11):109-114]. (ISSN: 1545-1003).
Effects of diet substitution on growth performance, energy consumption and digestive enzymes in Macrobrachium rosenbergii postlarvae

The present study was conducted to assess the growth promoting ability of Chlorella vulgaris on Marobrachium rosenbergii postlarvae. The experimental diets were prepared by fishmeal replacement with C. vulgaris at different levels (25, 50, 75 and 100%). The prepared feeds were offered to the M. rosenbergii postlarvae during 90 days in triplicate. At the end of the feeding experiment, survival rate, weight gain, specific growth rate and feed conversion efficiency were significantly (P < 0.05) higher in 50% C. vulgaris inclusion diet fed PL group. Similarly, total protein, amino acid, carbohydrate and lipid contents were significantly (P < 0.05) higher in specimens fed 50% C. vulgaris supplemented diet. The feeding rate, absorption rate, conversion rate were significantly (P < 0.05) higher in 50% C. vulgaris supplemented diet fed PL group. At this level of replacement, the activity level of digestive protease, amylase and lipase were significantly (P < 0.05) higher in 50% C. vulgaris supplemented group. Among all the experimental groups, the 50% fishmeal replacement with C. vulgaris inclusion diet fed group, showed significant performance. The present results revealed that the partial replacement of fish meal with C. vulgaris is favorable for M. rosenbergii postlarval culture.