Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of Proliferation Index and Pathological Features as Prognostic Potential of Breast Cancer in Ethiopia

Background: Analysis of proliferation status in breast cancer can be associated with tumor aggressiveness. Uncontrolled proliferation has been accepted as a distinct hallmark of cancer and act as an important determinant of cancer outcome. Recently measuring proliferation used as predictive potential and crucial element of treatment decision in patients with breast cancer. Aim: We therefore aimed to assess the frequency proliferation rate by using mitotic count and Ki-67 index to associate with other prognostic markers. Methods: A prospective study of 197 newly diagnosed breast cancer tissues from women received surgery as initial management in three different hospital in Addis Ababa, Ethiopia from January 2013 to December 2015 were included in the study. Histology slides were evaluated for the histological type, grade (by modified Nottingham grade score). Mitotic count quantified as number of mitoses per 10 high power fields (HPF) at the tumor periphery. Less than and seven mitoses per 10 fields scored 1 point, 8-16 scored 2 points, and more than 17 scored 3 points. Immunohistochemical staining of Ki- 67 was performed and the proliferation rate was expressed as percentage of stained tumor cell nuclei. Associations of the Ki67 index with other prognostic factors were evaluated both as continuous and categorical variables. Results: The Mean ± SD mitotic activity index was 15.7 ± 10.6 while the median was 14/10 HPF. Mitotic count was found 0-7 mitoses per 10 HPF in 42/197 (21.3%) cases, between 8 and 14 mitoses per 10 HPF in 74/197 (37.6%) cases and >15 in 81/197 (41.1%) cases. Ductal type BC was associated with high mitotic count than lobular and other histological BC types which is statistically significant (p=0.009). High mitotic count was significantly associated with aggressive features of the primary tumors (negative hormonal receptor (ER- and PR-) p 60 yrs of old. The mean value of G2 and G3 tumor were higher than G1 tumor and it is statistically significant (p <0.001). The Ki-67 mean value was found lower in Hormone receptor posetive (ER +, PR +) than hormone receptor negative (ER-, PR-). The deference was statistically significant (p=0.001) and (p=0.005). While Her-2 posetive tumor found higher mean Ki-67 value than Her-2 negative tumor and also the difference was statistically significant (p=0.001). Conclusion: Clinical utility of Mitotic count and Ki-67 in combination with other prognostic markers can better predict breast cancer outcome. Therefore we suggest that Ki-67 index should be added to treatment plan when considering adjuvant chemotherapy and prognostic stratification.
Distributed Auditing for user data in the Cloud

— Cloud computing is one of today's most exciting technology because of its cost-reducing, flexibility, and scalability. For infrastructure of cloud computing data security refers to policies, technologies, and controls deployed to protect data, applications. In this paper we discuss the evolvement of cloud computing paradigm and present a framework for secure cloud computing through accountability. Accountability is likely to become a core concept in the cloud. To address this problem, we propose a decentralized information accountability framework. We propose a logging mechanism along with user’s data and policies. Whenever a user logs into the system, then a log record will be generated and those log records will be stored in a JAR (Java Archives) file. We propose a single JAR which has two functionalities like matching policies and providing/decrypting the file if that policy is matched. One more approach we are providing i.e. ABE technique which creates attributes and ensures security for user’s related information. We provide extensive experimental studies that demonstrate the efficiency and effectiveness and the proposed approaches.
Photovoltaic Burp Charge System on Energy-Saving Configuration for PV Systems under Different Scenarios

Solar power being the primary source of energy is of main focus in field of energy conversion. The techniques to generate maximum power from simple PV-module are the major challenge. Power electronics have helped to obtain the goal to a greater extent. In this paper attempt have been made to study and analyze different MPPT techniques used in different scenarios to make it simple to choose a particular methodology for particular situation. Keywords: MPPT, Partial Shading Condition, P-V Systems, V-I Characteristics.
Multi Document Text Summaization using Machine Leaning

Summarization process is always needs more precision and time to yield the best results. This is due to the vastness of the data, complexities in the narration of the documents and constrained time boundaries. So the task of Document summary extraction is always full of complexities. So this is the key point in many sections of society where work is lagging behind like court rooms, Academic carrier and many more due to unavailability of the document summary on time. Natural language processing and Machine learning always plays a vital role in providing the summary of the documents, but accuracy is always a big question. So this research article concentrates on extraction of the semantic Summary for the input of multiple documents. This paper introduces using of the Gaussian distribution model and Fuzzy classification along with the natural language processing technique to yield well semantic summary for the given input of the multi documents.
PREVENTION AGAINST NEW CELL COUNTING ATTACK AGAINST TOR NETWORK

Various low-latency anonymous communication systems such as Tor and Anonymizer have been designed to provide anonymity service for users. In order to hide the communication of users, most of the anonymity systems pack the application data into equal-sized cells (e.g., 512 B for Tor, a known real-world, circuit-based, low-latency anonymous communication network). Via extensive experiments on Tor, authors in [22] found that the size of IP packets in the Tor network can be very dynamic because a cell is an application concept and the IP layer may repack cells. Based on this finding, they investigated a new cell-counting-based attack against Tor, which allows the attacker to confirm anonymous communication relationship among users very quickly. In this attack, by marginally varying the number of cells in the target traffic at the malicious exit onion router, the attacker can embed a secret signal into the variation of cell counter of the target traffic. The embedded signal will be carried along with the target traffic and arrive at the malicious entry onion router. Then, an accomplice of the attacker at the malicious entry onion router will detect the embedded signal based on the received cells and confirm the communication relationship among users. In this paper i propose a mechanism to prevent from this attack.
Robotic Remote Surveillance and Control through Speech Recognition

— This paper deals with the remote based robotic surveillance system and control through speech processing. Robotic remote surveillance and control through speech recognition is a kind of simple Cyber Physical system. Cyber Physical system is connection between cyber world and physical world around us. Sensors in network map the physical parameters in digital, share the information with processors and CPS intelligently makes the decision after computing. Finally the decision command is translated into physical world by actuators. The speech commands from a user‟s distant location are carried over wirelessly to a multifunctional robot unit. Robotic arm over a base will act for voice commands sent over media. Desired surveillance will be facilitated by movement of robot and installed surveillance unit. Video stream feed to user is sensing of physical environment while actions of arm represent the role of actuator. This system used in the heavy industry in any environment.
INVESTIGATION OF OVARIAN MATRIX METALLOPROTEINASE (MMP) 1, 2 AND TOTAL NITRIC OXIDE (NO) IN INFERTILE DAIRY COWS

The object of this study was to investigate changes of total NO, ovarian MMP1 and MMP2 correlated with LH and E2 in infertile dairy cows. 40 Holstein cows included 21 infertile cows and 19 normal cows during their estrous phase to limit as possible as the hormones fluctuation were concerned. Blood were used for measurement of LH, E2 and NO. The ovarian tissues were used for evaluation of MMP-1 and MMP-2 with Real-Time PCR and Immunohistochemistry. LH, E2 and NO results were 12.25 ± 0.32, 49.70 ± 8.08 and 9.76 ± 1.10 respectively in normal cows, but in infertile cows were 17.60 ± 0.65, 82.53 ± 6.49 and 15.53 ± 1.42 respectively, the difference of these hormones decreased significant in the infertile cows P<0.05. PCR results showed the expressions of MMP1 and MMP2 in ovarian tissue were lower in infertile cows, compared with fertile cows (P<0.05), These findings were approved by the immunohistochemical localizations of MMP-1 and MMP-2 in the different part of ovarian tissues or cells including granulosa and theca cells of preovulatory follicle, epithelial follicular cells of small follicles, stromal cells and endothelial cells of blood vessels. This data verified that infertile cows have poor ovarian activity and follicular development. Decreases of expression of MMP1 and MMP2, which are essential for ovulation, may be considered to be important marker of disrupted ovarian function and also poorly follicular development . Moreover, there was a positive correlation between NO level and improper follicular development. In conclusion, it was determined that MMP1 and MMP2 are factors affecting fertility in cows correlated with NO and hormonal profile.
AMPLIFY and FORWARD COOPERATIVE DIVERSITY for SV MODEL BASED STANDARD UWB SYSTEM

— Data rates and quality of service are limited by the fact that, for the duration of any given connection, they experience severe variation in signal strength. As reported any UWB system faces major challenges in achieving wide coverage without affecting the system performance. In this paper, a cooperative scheme in UWB is proposed so as to enhance the performance and coverage of UWB by using cooperation amongst UWB devices. BER performance analysis is provided for the cooperative UWB system with Amplify-and-Forward (AAF) cooperative protocol using different combining method. Further this work also analyses the performance of this protocol subject to positioning of relay between transmitter and receiver. The result indicates that AAF provides better performance over single link transmission.
Comparative Study of PMS Implementation Challenges in Innovative Organizations

In Lieu with competing individuals across organizations and sectors working in most challenging of business environments with an array of intelligent quotients and sky rocketing ambitions makes organizations rethink their performance management policies in tune with workforce requirements. It therefore becomes imperative for business units to accommodate human resource requirements into performance management systems and programmes to enhance workforce loyalty quotients. This paper focuses on the implementation challenges of performance management systems across Banking, Retail and Healthcare sectors. Primarily six implementation challenges were identified across these sectors and their mean ratings are derived using descriptive statistics and significance levels are studied for analyzing critical challenges dimensions.
A Robust Segmentation Method for Acute Lymphoblastic Leukemia Detection

— Acute Lymphoblastic Leukemia is a malignant disorder of lymphoid cell, which affect both children & adults between ages of 2 & 5 years. The 80% cure is possible in children by effective treatment. Pathologists use leukocytes for the identification of variousdiseases. The methods like Fluorescent in Situ Hybridization (FISH), flow cytometry, immunophenotyping are used for leukemia detection. These methods have specific roles in the diagnosis & management of various haematological neoplasms. Careful examination of blood & bone marrow is fundamental in all haematological diagnosis. The major role of cytochemistry is in the diagnosis of acute myeloid leukemia & myelodysplastic syndromes and the major role of immunophenotyping is in the diagnosis of chronic lymphoproliferative disorder & acute leukemia cytogenetic analysis has role in confirming the diagnosis of chronic granulocyte leukemia and gives important information in the acute leukemias. But these methods give slow analysis and less accuracy. This paper presents fully automatic method for identification and classification of WBCs from microscopic images. In the proposed segmentation method Otsu’s thresholding method is used to segment normal and ALL lymphocytes from the blood cell component. The whole work has been done by using MATLAB software.
A Review Study of Various Control strategies for a class of Uncertain Nonlinear Systems

: This paper gives an overview of various control strategies for the uncertain nonlinear systems. After reviewing the basic concepts of nonlinear control, we survey the uncertainty descriptions considered in the literature, and the techniques proposed for improving stability and performance of system. The key concept of uncertainty is discussed at form of some point. In this paper also include review of wavelet neural networks and their limitation.
Self-Reported Motivation for Prostate Cancer Screening among Black Men in Hillsborough County, Florida

Black men across the United States have consistently experienced a disproportionate burden of prostate cancer. In 2006, Florida males had the second highest prostate cancer incidence and mortality rate in the nation as well as sustained trends for low numbers Black men receiving prostate-specific antigen (PSA) testing compared to White or Hispanic men. Although routine screening for prostate cancer remains controversial, many asymptomatic men undergo testing with digital rectal examination (DRE) and prostate specific antigen (PSA) test. However, studies examining self-reported motivating factors and barriers to screening among Black men residing in historically underserved black neighborhoods are limited. The purpose of this study was to identify barriers and motivating factors associated with self-reported past prostate cancer screening behaviors among Black Floridian men. Using a cross-sectional, stratified design, we performed a secondary analysis of data collected during personal interviews of 334 Black men, 40 years or older, residing in predominantly Black neighborhoods in Hillsborough County Florida. The survey instrument assessed demographics, health care utilization variables, self-reported reasons for being screened (motivations) or not being screened (barriers), and their associations with self-reported screening behavior (having a DRE and PSA). Multivariate statistical analyses were performed using Statistical Analysis Software (SAS®) (alpha (α) < 0.05). Participant mean age was 55 years; 285 (85%) had health insurance; 247 (74%) had high school or lower education; 245 (73%) see a healthcare provider regularly; 219 (65%) had ever had a DRE; and, 87 (26%) had ever had a PSA test. After controlling for demographic and healthcare access variables, two self-reported motivations and no self-identified barriers were among factors strongly associated with having had both DRE and PSA screening: desire for early detection (OR = 7.0, 95% CI = 2.0 24.9) and having a regular doctor’s appointment (OR = 4.0, 95% CI = 1.8 8.8). These findings increase our understanding of asymptomatic Black Floridian males’ motivations for undergoing DRE and PSA tests amid continued uncertainty and suggest opportunities for clinical and community-based education and informed decision-making among at-risk subpopulations in Florida.
Forecast Engineering Students Failure by Using Data Mining Techniques

:- This paper proposes to apply data mining techniques to predict engineering students failure and dropout. We use real data on 951 Engineering students from Rajkot, and employ classification methods, such as regression and decision trees. Experiments attempt to improve their accuracy for predicting which students might fail or dropout by first, using all the available attributes; next, selecting the best attributes.
Psoriasis: The Immune System Disease with Unknown Etiology Treated with Local Bath PUVA. Clin Dermatol J 2018, 3(2): 000144

Psoriasis is a chronic and lifetime disease which relates to the immune system, having unknown etiology. It typically emerges with dermal disorders and sometimes with joint disorders. Psoriasis Palmoplantar is a kind of localized chronic dermatosis in palms of hands and soles of feet; the significance of which is its resistance to treatment and high rate of reoccurrence. Psoriasis Palmoplantar significantly influences the quality of patients’ lives due to affecting their everyday life tasks. Procedure: This is a descriptive analytical study, performed in retrospective method. The target society for this study includes all patients suffering from Psoriasis Palmoplantar, who referred to X-Ray Clinic of Razi Hospital during the years of 2005 to 2009 and went under treatment using Local Bath PUVA. Questionnaires were made subject to the data recorded in medical files of patients. Results: Medical files of 95 patients, suffering from Psoriasis Palmoplantar, were investigated in this study. The patients, who referred, went under treatment using Local Bath PUVA at Razi Hospital. 49.5% of the patients were male and 50.5% were female. Average age of patients was 44.17 years. The youngest patient was 6 years old and the oldest was 81 years old. Most of patients were in 4th and 6th decades in age. Average number of treatment sessions for the studied patients were 42.5 sessions and average collective radiation dose was J/CM2 251.8. Occurrence rate of side effects in studied patients was 20%. In final assessment, 16.8% of patients had a very good response to treatments (75% to 100% recovery of disordered dermal surfaces). 35.8% of patients had a good response to treatments (50% to 75%) and 29.5% of patients had an average response to treatments (25% to 50%) and 9.5% of patients had a weak response to treatments (less than 25%) and 8.4% of patients showed complete failure in treatments. In statistical terms, collective radiation dose for patients with very good treatment response (more than 75%) was significantly higher than other patients. The number of treatment sessions in these individuals was significantly higher than other patients. But among those patients with lack of recovery, low recovery and average and good recovery, there was no significant difference in number of sessions or dose of radiation. There was no significant difference between the Research Article
CUSTOMERS’ SATISFACTION WITH SERVICE QUALITY OF INTERNET BANKING

Advent and adoption of internet by the industries has removed the constraint of time, distance and communication making globe truly a small village. Financial sector being no exception, numerous factors such as competitive cost, customer service, increase in education and income level of customers etc. influence banks to evaluate their technology and assess their electronic commerce and internet banking strategies. Internet banking provides speedier, faster and reliable services to the customers. This study aims to evaluate the service quality of Internet banking from customers’ perspective. This paper is divided into two sections. First section presents the introduction of internet banking, status of internet banking in India, through the literature available in the field. It also includes the review of the various services provided by the banks under the study. Second section presents the results obtained on the basis of the data collected. A structured questionnaire containing 26 quality items is administered to various target groups. Various statistical tools like factor analysis and ANOVA are used accordingly to compile the result. The result shows that customers are more satisfied with quality of service on reliability than the services like accessibility, user-friendliness, security and responsiveness. The study not only prioritises different parameters but also provide guidelines to bankers to focus on the parameters which they need to improve. The study concludes that these factors are the core service quality dimensions for customers’ satisfaction in internet banking.
On Optimal Parameter Not Only for the SOR Method

The Jacobi, Gauss-Seidel and SOR methods belong to the class of simple iterative methods for linear systems. Because of the parameter , the SOR method is more effective than the Gauss-Seidel method. Here, a new approach to the simple iterative methods is proposed. A new parameter q can be introduced to every simple iterative method. Then, if a matrix of a system is positive definite and the parameter q is sufficiently large, the method is convergent. The original Jacobi method is convergent only if the matrix is diagonally dominated, while the Jacobi method with the parameter q is convergent for every positive definite matrix. The optimality criterion for the choice of the parameter q is given, and thus, interesting results for the Jacobi, Richardson and Gauss-Seidel methods are obtained. The Gauss-Seidel method with the parameter q, in a sense, is equivalent to the SOR method. From the formula for the optimal value of q results the formula for optimal value of . Up to present, this formula was known only in special cases. Practical useful approximate formula for optimal value  is also given. The influence of the parameter q on the speed of convergence of the simple iterative methods is shown in a numerical example. Numerical experiments confirm: for very large scale systems the speed of convergence of the SOR method with optimal or approximate parameter  is near the same (in some cases better) as the speed of convergence of the conjugate gradients method.
ROBUST DATA COLLECTION IN WIRELESS SENSOR NETWORKS WITH FIXED PATH AND CONTROLLED SPEED MOBILE SINKS

Recent work has shown that sink movement along a fixed path and speed control can minimize the energy utilization in wireless sensor networks. Due to the fixed path, a movable sink with fixed speed has limited communication time to collect data from the subsink and member nodes deployed randomly. This method poses significant challenges in jointly improving the amount of data collected and reducing the energy consumption. To tackle this issue, we propose a new method for data collection, called the Maximum Amount Shortest Path (MASP) that increases network throughput as well as conserves energy by optimizing the assignment of sensor nodes to the subsinks. Two phase communication method based on efficiently assignment of the member node to subsinks. Current work also implements a practical distributed approximate algorithm to solve the subsinks selection and member node assignment problem. Our aim is to collect maximum data efficiently in wireless sensor networks by utilizing minimum energy using MASP with different scenario (MASP-WDS) of controllable movable sink. Which increase also network life time.
Research on Net Weighting Schemes in Performance Driven Global Routing

In today’s VLSI technology nodes, interconnect delay plays an important part in deciding the performance of the chip designs. Various methods are introduced at the level of placement and routing to address this problem. To address this problem at the level of global routing, net weighting methods are being explored in the industry and academia. We investigate four methods for weighting the critical nets during performance driven global routing. This paper presents a comparative study conducted on the four methods for net weighting proposed by us in our previous works