Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluating the epidermal growth factor receptor in non small cell carcinoma of lung according to the grade of tumor and cellular differentiation

Small cell lung cancer (NSCLC) which comprises the majority of lung cancer has proven difficult to treat due to poorly understood pathological mechanisms. Over expression of EGFR has been reported and implicated in the pathogenesis of many human malignancies, including NSCLC. The aim of this study was to evaluate the epidermal growth factor receptor in non small cell carcinoma of lung according to the grade of tumor and cellular differentiation. In this retrospective study, 50 patients with primary lung carcinoma diagnosed as pathologic NSCLC who underwent complete surgical resection with systematic lymph node dissection without adjuvant chemotherapy were evaluated. Patient gender, age, tumor size, tumor location, surgical procedure, pathologic TNM stage, and patient outcome were determined from the medical records. There were 40 males and 10 females with a mean age of 55.12 ± 10.14 years. Most patients (40 patients; 80%) had adenocarcinoma (ADC), whereas 8 patients (16%) had squamous cell carcinoma (SCC), 2 patients (4%) had LCNECs. EGFR expression was not associated with age, sex, smoking status, pathologic stage, or tumor or node status. Significant differences were associated with histologic differentiation, with well-differentiated tumors expressing higher levels of EGFR than the poorly differentiated tumors. A statistically significant difference in the EGFR expression was observed across the histological subtypes (P< .001). We conclude that most of the NSCLC tumors have high EGFR expression, especially in the SCC subtypes. [Ashraf Fakhrjou Ali Esfehani Iraj Asvadi. Hiva Moein, Morteza Ghojazadeh. Evaluating the epidermal growth factor receptor in non small cell carcinoma of lung according to the grade of tumor and cellular differentiation. J Am Sci 2013;9(11):72-76]. (ISSN: 1545-1003). http://www.jofamericanscience. org. 12
THE EFFECT OF ENTREPRENEURIAL ORIENTATION ON PERCEIVED BUSINESS SUCCESS OF SMALL SCALE MANUFACTURING IN ETHIOPIA

This paper aims to address the effect of entrepreneurial orientation dimension variables on the perceived business success in small scale manufacturing enterprises in the text of less developing countries by taking one regional province of Ethiopia that is Amhara regional state. In this study, the explanatory research design was employed that is inclined towards a quantitative approach. Data were gathered from primary sources through a standardized questionnaire from small scale manufacturing enterprises working in the Amhara region. A blend of multi-stage sampling techniques was employed to choose appropriate samples and binary logistic regression analysis was applied for the purpose of data analysis. The study result showed that all five entrepreneurial orientation dimensions (autonomy, innovativeness, pro-activeness, competitive aggressiveness, and risk taking) variables were significant in predicting the odds of perceived business success. However, among those strongest predictors, only three of them (Risk Taking, Pro-activeness, and Competitive Aggressiveness) have the positive impact on the dependent variable, whereas the remaining two variables (Innovation and Autonomy) have a negative impact on the perceived business success of small scale enterprise.
Advances in Immunotherapy for Cancer

Cancer is one of the leading causes of death around the world. Cancer cells display uncontrolled cell division and often times the ability to metastasize through the body. Cancer cells tend to possess genetic mutations that result in evasion of the cell cycle arrest system, inhibition of tumor suppressor genes, activation of oncogenes, and evasion of the body’s immune system. Although a range of cancer treatments have been developed, they often harm healthy cells and can damage the immune system of the patient. Based on the fact that the immune system does have mechanisms for recognizing and eliminating tumor cells , many modern anti-cancer therapies, collectively referred to as immunotherapy, involve manipulating the cancer patient’s own immune system to more effectively attack tumor cells. Some of these new immunotherapy-based strategies include the engineering of chimeric antigen receptor (CAR) T cells, administration of tumor specific monoclonal antibodies to induce antibody-dependent cellular cytotoxicity (ADCC), administration of monoclonal antibodies that interfere with T cell checkpoints, and administration or in vivo expression of tumor specific neoantigens to activate tumor antigen-specific T cells. These techniques have their problems, but clinical trials have demonstrated promising results in many patients, and in general are significantly less hazardous to the patients undergoing treatment than traditional chemoand radiation-based therapies.
Prevention of Phishing using Click Points

: The aim of preventing phishing attack is to find a new authentication technique to protect website from phishing attacks using click points. An attacker can feasibly capture the victim‟s credentials by fraudulent process. The main goal of phishing is aimed at reducing the effectiveness of phishing attacks that are becoming increasingly problematic for Internet users, based on the traditional username and password paradigm. This is done by providing the user with dynamic display feedback as they enter their passwords, allowing users to stop entering their password that they do not recognizes a sure sign of interacting with the wrong site. This graphical password Click Points describes a security technique enabled with more effective credentials that overcome that deficiency. This will provide a user with security and prevent the disclosure of his/her entire password from phishers.
EFFECT OF PLGA-CHITOSAN-TWEEN 80 NANOPARTICLES ON BEHAVIOR AND HISTOPATHOLOGY OF HIPPOCAMPUS OF WISTAR RATS

Present study aimed to evaluate effect of PLGA-Chitosan-Tween 80 nanoparticles on the behavior and histology of hippocampus of Wistar rats designed to ascertain whether the nanoparticles improve memory, cognitive deficits and prevent degeneration of hippocampus region of rat brain under AD. This research was carried out using 40 Wistar rats. The animals were divided into four groups. Group I control, II positive control, III standard (drug treated) and IV PLGA-CS-Tween 80 NPs treated group. Animals were evaluated for behavioral study on 0, 7, 14, 28, 36 and 42th day by elevated plus maze paradigm. After 42th day, animals were humanly sacrificed using chloroform and then the brain tissues were fixed immediately in Bouin’s fluid and processed further through the routine tissue processor. The stained samples were examined by means of light microscope for histological changes. Behavioral study demonstrated that Retention Transfer Latency (RTL) was decreased in the groups IV and III gradually compare to group II rats. Prepared nanoparticles have been demonstrated improvement in memory and cognitive functions like standard drug in behavioral study. Histology examination showed loosely packed pyramidal cells, neuritic plaques and neurofibrillary tangles, which were indications of neurodegeneration in the group II. However, the group III and IV showed tightly packed pyramidal cells, less number of neuritic plaques and neurofibrillary tangles, which concluded that PLGA-Chitosan-Tween 80 NPs have significant effect on memory, cognitive functions and histopathology compared to group II. The behavioral study and histopathology study supports the performance of NPs in vivo into AD model. World Journal of Pharmaceutical Research SJIF Impact Factor 5.990 Volume 4, Issue 7, 2158-2172. Research Article ISSN 2277– 7105 Article Received on 12 May 2015, Revised on 07 June 2015, Accepted on 30 June 2015 *Correspondence for Author Kinjal C Patel Department of Pharmaceutics Acharya & B M Reddy College of Pharmacy, Soldevanahalli, Hesaraghatta Main Road, Bangalore-560107, Karnataka, India.
HADOOP BASED APPLICATION USING MULTINODE CLUSTERS

In the present era, data is considered as precious as gold for many organizations. Data management and storage is of utmost importance. In today’s scenario, data is being generated in massive quantities every single day. Hence, the storage and processing of data using the conventional storing methods like RDBMS is not efficient and effective. So, new ways have been evolved to manage this massive amount of data, also termed as Big Data. This Big Data is a combination of both structured and unstructured data. Hadoop is an open source software that helps to store and process this Big Data. The Hadoop divides the data in blocks and stores them on different nodes and also does replication of these blocks for fault tolerance. The Hadoop Distribution File system (HDFS) and MapReduce are the two key components of Hadoop. MapReduce is used to process the data. In this paper 3-nodes cluster is proposed to store file and process the data for word-count application.
The Effects of Melatonin in Bone Healing

Melatonin, an endogenous hormone, regularly is produced in pineal gland. Suprachiasmatic nucleus and the light/dark cycle controls melatonin function. Melatonin doesn't act upon specific target tissue; it reaches all organs and tissues and enters all intra cellular structures like mitochondria and nucleus. Melatonin has an important effect on physiological processes of body including regulation of blood pressure, circadian rhythms, ovarian function, seasonal reproduction, and immune function. The general effects of melatonin in bone health were proposed by many researchers during the last years. First experiments studied the influence of the pineal gland on level of serum calcium. It has been saw that inhibition the melatonin biosynthesis by exposure of young rats to the fluorescent light decrease the concentration of calcium in the serum. The effects of melatonin on bone healing were investigated by scientists, and they observed which melatonin protects the bone from fracture. Studies have showed which melatonin has an influential role on bone-healing because of its regulation of bone cells, antioxidant properties, and promotion of angiogenesis actions. Scientists have been show that melatonin has aninfluential role in bone healing process due to its regulation of bone cells, antioxidant properties, and promotion of angiogenesis actions.
Secure Group Data Sharing In Cloud Storage Using Key Aggregate Searchable Encryption

— Now a day cloud storage is very legendary. The main goal this work is to safe and efficient data sharing. Good reliability & accessibility, powerful protection, unpleasant consequence recovery and low cost are provide by cloud storage. This work done a through of making the secure data sharing and versatile release. On public cloud storage ability of sharing selected individual data or group of individual data with group of users. They able to change easy group of people by a constant size encryption key using plan of particular result which is key aggregate searchable encryption. To search over share data owner have to assign to users large number of key for encryption search and data users will have to securely store the received key and report an equally large number of word trapdoors to the cloud. Owner upload files on cloud by tagging files and use only one aggregate key to share large number of documents. Data user send only one aggregate trapdoor to cloud for searching documents.
Real-time Traffic Congestion Detection using Combined SVM

— Traffic density and flow are important inputs for an intelligent transport system (ITS) to better manage traffic congestion. This paper proposes a cost effective traffic congestion detection system by using image processing algorithms and a combined Support Vector Machine (SVM) classifier and thereby demonstrates the efficiency of using key informative metrics like edge and texture features in real time. Effectiveness of the proposed method of classifying traffic density states is demonstrated on real time traffic images taken at different time periods of a day in Bangalore city.
Single Network Structure for Stuck-at and Bridging Fault Analysis and Diagnosis of Exclusive-OR Sum of Products Reed-Muller Canonical Circuits

— In this paper, a testable design with good fault identification capability is used for analysis and diagnosis of AND-bridging and double stuck-at faults in Exclusive-OR Sum of Product Reed-Muller canonical circuits, independent of the function for a given number of inputs. Factors of identifiability and distinguishability have been defined and determined. Further, a compact method of representing the circuit outputs has been adopted for ease of tabulation and comparison. Simulations of AND-bridging and Double stuck-at faults for a few random functions have been carried out through MATLAB coding. From the test results, it was found that the fault detection for the set of random functions was more than 90% for most of the functions except few cases, with just n+5 test vectors compared to 2 n test vectors required for conventional testing. The location of the fault can also be diagnosed through the output sets. Index Terms — Reed-Muller Canonical Form, Exclusive-OR Sum of Products, Testable Realization, AND-bridging fault ,Double stuck-at fault .
Optimized Queue Length Schema Implementation for 3g/4g Mobile Data Network

: During Jan 2016 India Mobile subscribers count crossed one billion and the estimated subscribers during 2017-2022 will be more than 299.9 million. Mobile devices with 3G/4G feature phones are now incorporated with prime specifications and optimized software to handle increased usage of mobile subscribers. The queue length problem arises due to the huge demand of web accessing and file transfers from several resources through several independent devices at the same time. This paper focuses on optimization of queue length for maximize the utilization of data communication on mobile data networks.
Measuring Accessibility to Punctiform Urban Services using Space-Time Prisms: a Study on the Planned Residential areas of Khulna City

Accessibility indicates the relative easy to access of a certain opportunity & actually it is the result of interaction of land use & transportation system. For urban planning practice a number of methods so far has been developed, but in recent time space-time accessibility measurement technique has been developed by different geographer which considers space constrain of human activity along with the time constrain unlike the traditional methods. Recently, urban planners are also contributing to the space-time concepts with proper application of this concept to the real world accessibility problem of the urban area. This paper shows how the concepts of spacetime prisms can be applied to measuring accessibility to punctiform urban services where punctiform services are those, which delivered from a specific point & has a spatial dimension. Besides measuring the accessibility, this paper also shows the gap between the existing land uses of Khulna City in respect of supply of services with the accessibility of the residents for the selected residential areas. In case of selecting the location of punctiform urban services delivering, this type of accessibility measurement is necessary to reduce the waste of resource like time, money, energy for both service suppliers & service consumers.
Unusual Pancreatic Mass in a Young Adult: Metastases from Alveolar Rhabdomyosarcoma

Obstructive jaundice in older children can be associated with multipl primary and secondary diseases. As a rare entity, pancreatic neoplasms may lead to biliary obstruction in pediatric population. Here, a case of a 15 year-old boy presented with jaundice was evaluated and discussed. In the presence of a jaundice in childhood, pancreatic mass should be included in the differential diagnosis particularly pancreatic metastases from rhabdomyosarcoma should be kept in mind. In diagnosis of rhabdomyosarcoma careful and active evaluation of pancreas should be performed.
E-mail Classification Using Genetic Algorithm with

Internet users use e-mail to communicate over internet. They rely on the mail system to deliver their mails to the recipient. Spam has made the mail system more unreliable and unpredictable. It is the biggest threat to the e-mailing users. Spam has increased enormously in the last few years. Presently, the spam has an important role for users of email. It is really very hard to design an anti-spam solution that could be useful in stopping the spam completely. Most mail can get falsely caught by spam filters on the way to the recipient or it can drown among spam in the recipients' inbox. A general definition of spam does not occur because spam is different for every user. The Internet community needs to work to prevent spam. Possible ways to do this are through the law and the legal system, technical solutions and user awareness. In past, several statistical methods have been used, and have shown great performance, excelling in adapting to the ever changing content of SPAM e-mail. Still a perfect solution is not available till date. In this paper, a genetic algorithm based e-mail filtration method is presented, and method is tested on 1108 emails and efficiency of the method is found to be nearly 82%.
Modeling, analysis and development of “hybrid” manual and solar PV based power generation system

This paper presents the analysis & development of hybrid Manual and Solar PV Based Power Generation System as there is a requirement to supply the rural areas of India and other developing countries with reliable electricity. Most of the rural areas won’t have access to reliable electrical power even in the next ten years. Therefore alternate means of generating electrical energy will have to be utilized at local level. One such alternative is to produce electrical energy using hybrid systems utilizing manpower and solar energy. Local institutions like Panchayats might play an important role in the implementation, operation and maintenance of the proposed power generation system. The unregulated voltage generated by the proposed power generation system has been regulated with the help of electronic circuits.
Idiopathic Pulmonary Fibrosis Management Review

Idiopathic Pulmonary Fibrosis (IPF) is one of the most common Interstitial Lung Diseases (ILDs) and the most common idiopathic interstitial pneumonia. It is a chronic, progressive disease characterized by scarring of the lung and progressive loss of function [1,2]. Occurs primarily in older adults, it is limited to the lungs and, is associated with a radiological and/or histopathologic pattern of Usual Interstitial Pneumonia (UIP) [1]. A UIP pattern on High-Resolution Computed Tomography (HRCT) of the chest typically presents with reticulations (reticular pattern), traction bronchiectasis and subpleural cystic spaces (honeycombing) with a basal and peripheral predominance in the lungs [3]. The UIP pattern however, is not unique to IPF, and can be found in other ILDs, including those associated with connective tissue diseases, drugs, inhalation of organic dusts -called Hypersensitivity Pneumonitis (HP)-, or inhalation of asbestos -called asbestosis. A UIP pattern has been also associated to a rare congenital disorder called Hermansky-Pudlak syndrome.
HMAC Filtering Scheme for Data Reporting in Wireless Sensor Network

— Wireless Sensor Networks consists of a large number of small sensor nodes and itself are deprived of high memory requirements, high processing power and are limited in usage of efficient security mechanisms and susceptible to possible node compromise, passive and active attacks. These restrictions make them extremely vulnerable to variety of attacks. Mostly public key cryptographic techniques are found to be more work prone with the secure exchange of keys, mainly lengthy hash operations with high processing rounds etc. Even though these technique do not provide adequate verification process of reports from source to sink nor do they completely mitigate false report injection attacks and Denial of Service attacks. In this work we propose a HMAC'ed filtering scheme for secure transmission of data and we propose a technique called Encryption of combined hashes which filters bogus reports, then specifically addresses false report injection attacks and Denial of Services. It has three phases which is Key Pre-distribution, Key Dissemination and Report Forwarding Phase. The legitimacy of the report being forwarded by the cluster head is collectively endorsed by a preset value and achieved by Message Authentication codes. In our proposed scheme increases the performance, verification is done through control messages , increases the secure data transmission and addresses the false data reports earlier.
Game Theoretic Study on Channel-Based Authentication in MIMO Systems

: Multiple-input multiple-output (MIMO) techniques can improve the capacity and reliability of wireless communication systems, and increase secrecy capacities against eavesdropping. While it involves multiple technologies, MIMO can essentially be boiled down to this single principle: a wireless network that allows the transmitting and receiving of more than one data signal simultaneously over the same radio channel. Standard MIMO networks tend to use two or four antennas. Massive MIMO, on the other hand, is a MIMO system with an especially high number of antennas.There’s no set figure for what constitutes a Massive MIMO set-up, but the description tends to be applied to systems with tens or even hundreds of antennas. For example, Huawei, ZTE, and Facebook have demonstrated Massive MIMO systems with as many as 96 to 128 antennas.Because MIMO systems need to physically pack more antennas into a small area, they require the use of higher frequencies (and hence shorter wavelengths) than current mobile network standards.
Enhanced Greedy Anti –Void Routing Protocol with Hop Count Reduction for Wireless Sensor Networks

-- In this paper the solution to the void problem is taken up as the issue. This situation which exists in the currently existing greedy routing algorithms has been studied for the wireless sensor networks. The GAR protocol is a new protocol proposed here to guarantee the delivery of packets and excessive consumption of control overheads is resolved. This protocol is a combination of the GF algorithm and the RUT scheme. In RUT scheme the usage of Boundary Map concept increases the speed and efficiency in finding the nodes which will aid for a faster and a guaranteed delivery. To enhance this protocol’s functionality we go in for three mechanisms that can also be implemented in this project. The hop count reduction (HCR) scheme is utilized as a short-cutting technique to reduce the routing hops by listening to the neighbor’s traffic, the intersection navigation (IN) mechanism is proposed to obtain the best rolling direction for boundary traversal with the adoption of shortest path criterion. These three schemes are incorporated within the GAR protocol to further enhance the routing performance with reduced communication overhead. The proofs of correctness for the GAR scheme are also given in this Project.