Miracle-dz/UniFAR-FTUs huggingface dataset:
SURVIVAL ANALYSIS OF CANCER CASES FROM QIDONG

Objective: 16,§22 patients with cancers from 15 sites of Qidong population-based cancer registry in the period of 1982-1991 were analyzed for evaluation of cancer survival as well as different cancer control measures. Methods: Observed survival rate (OS) was computed by the Kaplan-Meier method using EGRET statistical software package. Relative survival (RS) which is the ratio of the OS to the expected rate was calculated by using Qidong life table with respect to sex, age and calendar period of observation. Results: The five-year OS for the 5 leading sites of cancers, liver, stomach, lung, oesophagus, and rectum were 1.8%, 11.6%, 3.0% 3.3%, and 19.9%, respectively. The five-year RS for the 5 sites were 1.9%, 14.0%, 3.6%, 4.2%, and 23.7%, respectively, in which, 1.7%, 14.8%, 3.4%, 4.2%, and 26.0% for males, and 2.7%, 12.7%, 4.1%, 4.0%, and 22.0% for females, respectively. Female patients with breast cancer and cervix cancer had 5-year RS of 54.6% and 33.0%. Conclusion: Cancer survival rates for all sites are poor, in which that of the liver is the lowest, while that of the breast, the highest. The survivals of cancers for all sites, especially for breast, cervix, and leukemia are seen to be lower than those of European countries except for oesophagus, pancreas and lung cancer which do not achieve improved survival both in developing and developed countries. There will be a long way to improve the total cancer survival, as well as the cancer treatment in the developing countries. Accepted for publication: October 12, 1998 This work was supported by the Foundation of ICRETT (No. 221) by the International Union of Against Cancer. Correspondence to: CHEN Jian-guo; Department of Epidemiology, Qidong Liver Cancer Institute, No. 785, Jianghai Zhong Road, Qidong, Jiangsu Province 226200, China; Fax: (0086-513)-3347081; Phone: (0086-513)3346202; E-mail: q0 jgchen@163.ne t or qdlci@pub.nt. jsinfo.net
Implementation of Pitch Shifter using Phase Vocoder Algorithm on Artix-7 FPGA

: The concept of pitch shifting has many advantages in different domains. Particularly in producing voice animated movies and cartoons, for enhancing the music systems, dubbing instruments it is very much needed. The task of pitch shifting is achieved using phase vocoder algorithm. It is implemented on Xilinx Artix-7 (XC7a200T-1SBG484C) FPGA. Results showed low latency and less power consumption which are suitable for real time applications
Phonon study of Gallium Antimonide (GaSb) using a theoretical approach of van der Waals three-body force shell model (VTSM)

A theoretical approach of van der Waals three body force shell model has been used for the calculation of mechanical, elastic and anharmonic properties of zinc blende gallium antimonides (GaSb). The agreement between results for elastic constants, pressure derivative of SOEC, Cauchy discrepancy and the available experimental data is excellent. We also report Phonon dispersion curve, twophonon IR/Raman spectra, Debye temperature variation and anharmonic elastic properties. It is concluded that VTSM is adequately capable of describing the complete crystal dynamic sdudy of zinc-blende structure crystals satisfying well. PACS No.: 63.20. –e, 65.40. Ba, 78.30. -j
TASK MIGRATION STRATEGIES FOR FAST RETRIEVAL OF INFORMATION FROM A MULTIPROCESSOR SERVER

— Achieving Parallelism is now a necessity to improve the performance of computer system. One of the main Issues is how to effectively utilized parallel computer that have become increasingly complex. The parallel computer is one of the remarkable developments of methodology and technology in computer science in recent years Nowadays, the use and access of fast processors and also multi-processors has widely increased. [1] Due to multiprocessor structure of the computer architecture, this computer has a capability to execute multiple instructions or multiple data simultaneously. [6] Research is active in the direction of developing new multiprocessor architectures and schedule the partitioned program on to it to achieve higher performance. Multiprocessor system must be very efficient at solving problems that can be partitioned into tasks with uniform computation and communication patterns. However, there exists a large class of non-uniform problems with uneven and unpredictable computation and communication requirements. [3] Parallel computers perform their computation by executing different computational tasks on a number of processors concurrently. During the execution of the parallel code, The processors within a parallel computer generally exchange information. This transfer of information occurs either in the form of messages sent by one processor to another or different parallel processors sharing a specified common memory resource within the parallel computer. The main idea of load balancing is to use multiple nodes to replace only one node, thereby it can enhance the computing power and reliability of the node at a low cost and time. Therefore Dynamic load scheduling (DLB) schemes are needed to efficiently solve non-uniform problems on multiprocessor systems.Dynamic load scheduling (DLB)algorithm are required to efficiently solve this problems on multiprocessor systems. [1,6].
BER Evaluation of LDPC Decoder with BPSK Scheme in AWGN Fading Channel

Low Density Parity Check (LDPC) codes nowadays use in modern system due to their excellent performance. LDPC codes are advantageous in terms of throughput, bit error rate and power dissipation in digital communication system. As per the requirement of high throughput, layered decoding algorithm of LDPC coding technique is being generally adopted with low computational complexity. The layered decoding algorithm can be applied to improve convergence speed and lower the bit error rate. In this paper, we present the mathematical analysis of simplified Min Sum Based Column Layered Decoding Algorithm with example and also shown improved bit error performance over AWGN Channel. We propose an integrated version of Min Sum Algorithm and Column Layered Decoding Algorithm which reduces complexity and Improve Bit Error Rate performance by 0.135. Reduced complexity and high speed decoder finds application in Wireless Sensor Networks and mobile communications.
DEEP WEB DATA EXTRACTION: A VISION-BASED APPROACH

Extracting data from the World Wide Web (WWW) has become an important issue in the last few years. Accessing hidden web or invisible web pages is 1 intricate problem by queries submitted to Web databases and the returned data records are 2 enwrapped in dynamically generated Web pages. These web pages are called 3 Deep Web Pages. Many techniques have been explained this problem with explicit limitations because they are Web-page-programming-language dependent. Web pages are always displayed regularly for users to browse in two-dimensional 4 media. This yields different ways for Deep Web Data Extraction to overcome existing techniques by utilizing some interesting common Visual features on the Deep Web Pages. In this paper explore the visual regularity of the data records and data items on deep Web pages and propose a novel vision-based approach to extract structured results from deep Web pages automatically and also propose a new evaluation measure revision to capture the amount of human effort needed to produce perfect extraction. This approach is highly effective for deep Web data extraction.
Role of Angiopoietin-1 and 2 as Angiogenic Factors in Women With Abnormal Uterine Bleeding

Human uterus is the principal place where angiogenesis occur every month in physiological setting. Abnormal angiogenesis is associated with abnormal uterine bleeding. Angiogenesis, or vascular growth, is therefore an essential component for growththat occurs in endometrium during every cycle of menses.The Angiopoietin family of growth factors along with VEGF family, mostly VEGF-A which are essential for vascular development are involved in endometrial repair mechanism. Angiopoietin binds to its receptor Tie-2 and induce autophosphorylation of receptor and promotes endothelial cell proliferation and finally vessels formation. The purpose of this study was to evaluatewhether idiopathic excess menstrual bleeding is associated with alteration of circulating angiopoetin-1 as well as angiopoietin-2 in women diagnosed with abnormal uterine bleeding and to correlate with control population. This case-control study was conducted on 120 females aged between 18-52 years with history of bleeding excessively for more than 3 months and 120 controls aged between 19-45. Serum Angiopoietin 1 and 2 were measured by ELISA kit method.
Traitements adjuvants des sarcomes des tissus mous

62 La Lettre du Cancérologue volume VII n° 2 mars-avril 1998 a faible incidence des sarcomes des tissus mous (moins de 1 000 nouveaux cas par an en France), le grand nombre de types histologiques (quinze dans la nomenclature récente) et le caractère quasi ubiquitaire des sites primitifs expliquent le peu d’études puissantes et homogènes permettant de répondre aux questions thérapeutiques. La chirurgie radicale est restée, jusque dans les années 70, le traitement standard. Si la radiothérapie postopératoire s’est imposée, autorisant un geste chirurgical plus limité, la chimiothérapie adjuvante reste encore controversée. Les traitements préopératoires le sont plus encore, faisant l’objet d’études limitées non randomisées pour des tumeurs localement avancées.
Comorbidity of Depression and Diabetes Mellitus in University of Gondar Referral Hospital, Gondar, Ethiopia. Nurs Health Care Int J 2018, 2(4): 000153

Diabetes is a metabolic disorder with a high worldwide prevalence. It has been reported that diabetic patients are more prone to depression. The purpose of the present study was to assess the prevalence rate of depression among patient with diabetes. Hospital based cross-sectional explanatory design was used. Simple random sampling was employed to recruit 287 diabetes patients from University of Gondar referral hospital, Gondar, Ethiopia. A questionnaire has two sections where the first section collects data on patients’ demographic characteristics. The second section, Beck Depression Inventory-II (BDI-II) was used to assess the severity of depression. Descriptive and inferential statistics including percentage, mean and standard deviation, independent sample t-test, point bi-serial and one-way ANOVA were utilized. All data were analyzed using SPSS for Windows version 20. As a result, the general life time prevalence rate of severe depression disorder among diabetes patients was 43%. In this study, it was revealed that sex (t (285) = -4.29, p< 0.05) and medication adherence (t (285) = -4.23, p< 0.05) do have statistically significant effect on diabetics patients’ depression disorder. On the other hand, duration of illness (t (285) = -1.23, p > 0.05) and types of diabetes (t (285) = 0.51, p>0.05) had no statistically significant effect on diabetes patients’ depression disorder. Furthermore, ANOVA result shows that diabetics patients’ marital status (F (3,283) =13.00, p< 0.05) and educational status (F (4,282) = 7.39, p < 0.05) had a statistically significant effect on patients’ depression disorder. However, age of patients had a statistically insignificant effect on patients’ depression disorder (F (4,282) = 0.67, p>0.05). Finally, positive correlation were observed between patients’ medication adherence and depression (r = .243, p < 0.05) although the relationship was weak. To conclude, comorbidity of diabetes and depression is highly prevalent. Therefore, mental health service providers shall regularly screen and treat diabetes patients’ clinical depression disorder. Hence, increasing patients’ awareness towards diabetes to enhance self-determination through integrated psychological and medical care in the management of diabetes would promote optimal health outcomes.
Honeywords for Password Security and Management

- With emphasis on Digital India and Government’s encouragement for cashless transactions, it has become essential for organizations to maintain the secrecy of login credentials of their employees and clients. At the same time it is also necessary to monitor any suspicious activities/attempts to steal such data by hacker. There are many methods to achieve secure login like OTP and Token generators. But these methods require additional devices to be carried by the users. Loss or change of the additional devices can obstruct the user form logging in. Organizations can increase the customer comfort, while maintaining the secrecy , by storing bunch of decoy passwords or “honeywords” corresponding to the correct password in the hashed password database. A hacker hacking the hashed password database would not be able to identify the decoy password and an attempted use of honeyword can set off an alarm. In the proposed work, the Honeyword generation method i.e. chaffing-with-tweaking provides some improvements such as handling the brute force attack and social engineering attack and introduce an enhanced model as a solution to an open problem that also overcomes the drawbacks of previously proposed honeyword generation approaches like storage cost.
PCI Matrix Based Image Reconstruction from Compressively Sensed Data

This paper propounds a joint system wherever in raise to a higher position-based, distinguishable, picture coordinated wavelets are measurable from squeezeingly seen pictures and are utilized for the remaking of indistinguishable. Coordinated swell is just outlined if full picture is advertised. Conjointly contrasted and the quality wavelets as scarifying bases, coordinated swell may surrender higher remaking closes in compressive detecting (CS) application. Since in metallic component application, we have squeezeingly seen pictures as opposed to full pictures, existing methods for arranging coordinated swells can't be utilized. In this way, we tend to propose a joint structure that evaluations coordinated wavelets from squeezeingly saw pictures and conjointly remakes full pictures. 3 Indispensable commitments. Initial, a lifting-based, picture coordinated severable swell is implied from compressively seen pictures and is furthermore wont to remake indistinguishable. Second, a simple detecting lattice is utilized to test data at sub-NY Quist rate such detecting and remaking time is decreased essentially. Third, a substitution staggered L-Pyramid swell decay procedure is accommodated severable swell execution on pictures those outcomes in enhanced remaking execution. Contrasted and the CS-based recreation misuse typical swells with Gaussian detecting network and with existing swell decay system, the arranged approach gives snappier and higher picture reproduction in metallic component application.
A SURVEY OF THE IMPACT OF SOCIAL MEDIA ON EMOTIONS, QUALITY OF BRAND RELATIONS AND WORD OF MOUTH

The present study aims to evaluate the impact of social media on emotions, quality of brand relations and word of mouth to present a good solution to be useful for Denon Sahar Company and achieving the relevant goals. The study population is internet and normal customers of Danet (those buying from stores and shopping centers of Danet). The study sample is selected by Cochran’s formula as 384 internet customers of Danet. The study method is survey-correlation. A questionnaire is used for data collection. The data is analyzed by SPSS, AMOS software. Pearson and path analysis tests are used to test the hypotheses. This study consists of five hypotheses and all are supported. Finally, the fitted model has bigger significance level than first type error 0.05 and this shows significant consistency of the model with the conceptual model of study. GFI, AGFI are estimated bigger than empirical value 0.9 and these indices show good power of model to estimate the share of each of factors.
Consumer Social Responsibility: A Paradigm Shift

Consumer social responsibility is a recent concept influencing the consumer behavior. Socially responsible buying is the emerging desire of consumers to respond for the social and environmental issues. The main purpose of this study is to identify the different dimensions involved in the area of consumer social responsibility. A qualitative study was conducted using a structured questionnaire among 225 customers. The statistical technique exploratory factor analysis was used to detect the validity of the considered scale which helped to find out the different dimensions of consumers’ social responsibility. The factors emerged through analysis were environmental, ethical, health, legal and cultural. These factors can be used to examine for predicting consumer behavior towards social responsibility aspect and also be utilized by the managers to develop strategies to promote products.
Airway Pressure Release Ventilation (APRV) Ventilator Mode in ICU

Airway pressure release ventilation (APRV) was first introduced in 1987 by Downs and Stock. It was developed as a lung-protective mode allowing for constant recruitment of alveoli, while minimizing ventilator-induced lung injury [1,2]. This method of ventilation provides increased airway pressure for an extended period of time with a momentary release, allowing for recoil of the lung producing a tidal volume relative to its elastic properties [3]. In essence, it is a continuous positive airway pressure therapy (CPAP) with a release phase allowing spontaneous breathing which provides potential benefits of decreased sedation, shorter duration of mechanical ventilation, and improvement in cardiac performance [4]. With no spontaneous breaths, APRV simply becomes an inverse inspiratory expiratory ratio (I: E) pressure controlled time cycled ventilatory mode. Its performance however is dependent on the operator selected [5]. Although it has not shown benefit in mortality, its effect on improving oxygenation with lung protective strategy is gaining popularity [6,7].
Classification of Microarray Samples using Attribute Clustering

Clustering is a useful technique for the analysis of gene expression data. Clustering algorithms based on probability model offers an alternative to heuristic algorithms. In particular, model-based clustering assumes that the data is generated by finite mixture of underlying probability distributions such as multivariate normal distributions. The issues of selecting a ‘good’ clustering method and determining the ‘correct’ number of clusters are reduced to model selection problems in the probability framework. This paper presents an attribute clustering method which is able to group genes based on their interdependence so as to mine meaningful patterns from the gene expression data. It can be used for gene grouping, and classification. By clustering attributes, the search dimension of a data mining algorithm is reduced. The reduction of search dimension is especially important to data mining in gene expression data because such data typically consist of a huge number of genes (attributes) and a small number of gene expressions. It is for the aforementioned reasons that gene grouping and selection are important preprocessing steps for many data mining algorithms to be effective when applied to gene expression data. This project defines the problem of attribute clustering and introduces a methodology to solving it. Our proposed method group’s interdependent attributes into clusters by optimizing a criterion function derived from an information measure that reflects the interdependence between attributes. By applying our algorithm to gene expression data, meaningful clusters of genes are discovered. The grouping of genes based on attribute interdependence within group helps to capture different aspects of gene association patterns in each group. Significant genes selected from each group then contain useful information for gene expression classification and identification.
Secure Cloud System for Robust and Highly Scalable Storage, Retrieval and Forwarding with Cooperation

: Cloud computing is a technology that facilitates the sharing of computing resources in pay per use fashion. Especially it can be used to store huge amount of data. The data of cloud users is stored in multiple servers at the service provider. The servers are considered untrusted. For this reason there are security concerns among the people for outsourcing their valuable business data to cloud. In existing system encryption techniques are used. However, they are proved to cause much overhead on cloud storage. Moreover encryption techniques cause many restrictions on data dynamics. Therefore there is a need for securing cloud data and also support data dynamics. Towards this many techniques came into existence. We proposed a scheme known as threshold proxy re-encryption along with erasure codes to solve the problem. They used security servers and key servers for storing data and keys respectively. This scheme is efficient is secure storage, retrieval and forwarding of data. However, assuming inconsistencies among servers, this paper proposes a timestamp based solution that extends the scheme for more robust security for cloud storage. The experimental results revealed that the proposed solution is effective and can be used in real clouds.
In vitro Biological Control of Fusarium oxysporum f. sp. Cubense by using Some Indian Medicinal Plants

Fusarium wilt of banana, also called Panama disease is one of the most destructive diseases in banana plant. In the present study, we investigated the in vitro biological control of Fusarium oxysporum f. sp. cubense by using some Indian medicinal plants such as Calotropis gigantea L. , Centella asiatica L. , Ocimum sanctum L. , Piper betle L. and Vitex negundo L. The antifungal activity of the distilled water, ethyl acetate, methanol and n-hexane extracts of selected medicinal plants was tested against the Fusarium oxysporum f. sp cubense by well agar method. Among the five plants tested, P. betle L. plant extracts exhibited maximum antifungal activity against the tested plant pathogen Fusarium oxysporum f. sp cubense followed by V. negundo, C. gigantea, C. asiatica and O. sanctum plant extracts. The distilled water extracts of all the plants did not show any activity against the tested
DATA DEDUPLICATION FOR NON SECURE TEXT AND DOC FILES IN CLOUD

— Information when interpreted we get data. Data about this data is called Metadata. For example: File consists of Information. Therefore File is data. And details like File name, file size etc. are Metadata. Data is stored in storage spaces. Currently the most dominantly used storage method is Cloud Storage. There has been a large increase in the usage of the Internet in the past few years. The Cloud has played a huge role in it. Traditional Data systems are slowly fading away and Cloud storage system is falling into place. One of the issues Cloud storage is facing is data redundancy. To solve this issue one should achieve Data Deduplication. Data Deduplication is a concept where unique data or a particular /similar pattern of data is identified and stored. This is then compared to other data available in the system. If a match is found, then the data is replaced by a link or a reference to the stored data.
A Minimally Invasive Restorative Approach of Dentinogenesis Imperfecta: A Case Report

Dentinogenesis Imperfecta (DI), is a genetic disorder that can greatly impact the oral condition both in the deciduous and permanent dentition. In the past, treatment of DI patients has involved extensive prosthodontic treatment, which even in young patients could range from full coverage crowns to implant retained bridges. The aim of this article is to introduce a novel and conservative approach to restorative treatment of such patients using modern adhesion technology. The results obtained indicate the possibility of successfully treating such patients without having to undergo invasive treatment.