for providing the fund to carry out the work.

Over time, textual information on the World Wide Web (WWW) has increased exponentially, leading to potential research in the field of machine learning (ML) and natural language processing (NLP). Sentiment analysis of scientific domain articles is a very trendy and interesting topic nowadays. The main purpose of this research is to facilitate researchers to identify quality research papers based on their sentiment analysis. In this research, sentiment analysis of scientific articles using citation sentences is carried out using an existing constructed annotated corpus. This corpus is consisted of 8736 citation sentences. The noise was removed from data using different data normalization rules in order to clean the data corpus. To perform classification on this data set we developed a system in which six different machine learning algorithms including Naïve-Bayes (NB), Support Vector Machine (SVM), Logistic Regression (LR), Decision Tree (DT), K-Nearest Neighbor (KNN) and Random Forest (RF) are implemented. Then the accuracy of the system is evaluated using different evaluation metrics e.g. F-score and Accuracy score. To improve the system' accuracy additional features selection techniques, such as lemmatization, n-graming, tokenization, and stop word removal are applied and found that our system provided significant performance in every case compared to the base system. Our method achieved a maximum of about 9% improved results as compared to the base system.

The Tor network is an encrypted network that allows anonymous access to the Internet for its users. The Tor network also hosts hidden services which constitute the infamous dark Web. These hidden services are used to carry out activities that are otherwise illegal and unethical on the surface Web. These activities include distribution of child pornography, access to illegal drugs, and the sale of weapons. While Tor hidden services provide a platform for uncensored ventures and a free expression of thoughts, they are outnumbered by grey activities taking place. In this paper, we have collected the addresses of about 25,742 hidden services and analyze the data for 6,227 available services with the help of custom-made crawler in Python. We analyzed the dataset and manually classify the data into 31 different categories to identify the nature of content available on the dark Web. The results indicate that a large share of hidden services provide illegal content along with a large number of scam sites. Non-English content was also studied and categorized. Russian was the leading language of the dark Web after English and hidden services having forums and blogs were predominantly present over other content.

Introduction:We conducted a prospective study to find out change in limb length (lengthening/shortening) after total knee arthroplsty in unilateral and bilateral total knee arthroplasty (TKA) because few literature is available regarding limb length discrepancy in TKA in comparison to total hip arthroplasty. Limb length discrepancy (LLD) may lead to low back pain and gait abnormalities. Material and methods: We divided 58 patients into two groups: Group A (28 patients) includes patients who underwent unilateral TKA and Group B (30 patients) includes patients who underwent bilateral TKA. We assessed the patients clinico-radiologically in terms of limb length (supine position), deformity, Sagital-flexion deformity/extensor lag, coronal -varus/valgus, range of motion, knee stability, patellar tracking and Hip-knee-ankle angle preoperatively and postoperatively. Results: In group A, mean limb length difference (operated limb gained length as compared to unoperated limb) was 1.11 cm. Out of 22 patients (78%) in whom limb length discrepancy was present, only 7 patients (31%) having limb length discrepancy perceived it. In group B, mean limb length difference was 1.03 cm. Fourteen patients (47%) in group B had LLD but none of them perceived it. Clinically 22 patients (78%) in group A and 14 patients (47%) in group B had LLD. Radiologically 25 patients (89%) in group A and 22 patients (73%) in group B had LLD. Out of the 7 patients who perceived LLD, all had LLD radiologically too. Conclusion:We reckoned that limb length discrepancy is more common in unilateral TKA. Limb length discrepancy of 2 cm or more is perceived by the patients operated for unilateral TKA. But in bilateral TKA, none of the patient perceived LLD because in this group LLD was less than 2 cm. Limb length discrepancy may leads to dissatisfaction of the patients and poor functional outcome.

No abstract

The web graph can be used to get insight into the internal structure and connectivity of the Tor dark web. This paper analyzes the internal structure of the Tor dark web graph and examines the presence of bow-tie structure as found in the World Wide Web. The web graph is generated from the data collected by the Python crawler customized to scrape data from the Tor dark web. Each of the nodes in the graph represents an individual Tor hidden service, and an edge denotes the hyperlink from one hidden service to the other. Various graph metrics are then computed and analyzed for both directed and undirected graphs using the Python NetworkX package. It was found that most of the nodes of the graph have in-degree and out-degree less than ten. The presence of power-law in degree distribution could neither be confirmed nor denied. The Tor web graph is sparse with a few connected pairs of nodes. Like the surface web, the dark web can also be decomposed into a bow-tie structure though with small component sizes. Several important and well-known websites on the surface web have incoming links from the dark web. Moreover, the Tor network also shows the characteristics of small-world and scale-free networks.INDEX TERMS Bow tie, dark web, graph analysis, Tor, web graph.

No abstract

a b s t r a c tInferior glenohumeral dislocation is the least common type of glenohumeral dislocations. It may be associated with fractures of the adjacent bones and neurovascular compromise. It should be treated immediately by close reduction. The associated neuropraxia usually recovers with time. Traction-counter traction method is commonly used for reduction followed by immobilization of the shoulder for three weeks. Here, we report a case of inferior glenohumeral joint dislocation with greater tuberosity fracture with transient neurovascular compromise and present a brief review of the literature.