Miracle-dz/UniFAR-FTUs huggingface dataset:
Significance of Adenoid Nasopharyngeal Ratio in the Assessment of Adenoid Hypertrophy in Children

The aims of this study are to find out the significance of adenoid nasopharyngeal ratio obtained from lateral X-Ray of nasopharynx to decide on the option of surgical treatment of adenoid and to correlate the symptoms with the relative size of adenoid in the nasopharynx. This prospective study was done on 100 children who presented with bilateral nasal obstruction from 412years of age. Radiological assessment of lateral radiograph of nasopharynx was done. Mean adenoidal depth and mean nasopharyngeal depth were calculated as per Yusuf et al method. Mean ANR was calculated by dividing adenoidal depth by nasopharyngeal depth. There was significant increase in adenoid size during 7-9 years and decrease in 10-12 years, the nasopharyngeal depth increased as age progressed. It was concluded that ANR > 0.7 are the candidates for adenoidectomy.
Blind Source Separation with Conjugate Gradient Algorithm and Kurtosis Maximization Criterion

: Blind source separation (BSS) is a technique for estimating individual source components from their mixtures at multiple sensors. It is called blind because any additional other information will not be used besides the mixtures. Recently, blind source separation has received attention because of its potential applications in signal processing such as in speech recognition systems, telecommunications and medical signal processing. Blind source separation of super and sub-Gaussian Signal is proposed utilizing conjugate gradient algorithm and kurtosis maximization criteria. In our previous paper, ABC algorithm was utilized to blind source separation and here, we improve the technique with changes in fitness function and scout bee phase. Fitness function is improved with the use of kurtosis maximization criterion and scout bee phase is improved with use of conjugate gradient algorithm. The evaluation metrics used for performance evaluation are fitness function values and distance values. Comparative analysis is also carried out by comparing our proposed technique to other prominent techniques. The technique achieved average distance of 38.39, average fitness value of 6.94, average Gaussian distance of 58.60 and average Gaussian fitness as 5.02. The technique attained lowest average distance value among all techniques and good values for all other evaluation metrics which shows the effectiveness of the proposed technique.
An Improved Adaptive Filtering Technique for De-Noising Electro-Encephalographic Signals

An electro-encephalographic (EEG) signal is a biomedical signal generated by the electrical activity of the brain. An encephalography is a test that detects this signal using small, flat metal disc (electrodes) attached to the scalp. A finite impulse response (FIR) adaptive filter for removing artifact electrocardiographic signal artifact from electroencephalographic signal was designed and implemented. It incorporates a new adaptive algorithm called Han-windowed algorithm which is a modification of least mean square algorithm. Based on the new algorithm, sampling frequency of 1000Hz with filter order of 122 and step size of 0.0011 were used in de-noising of the electro-encephalographic (EEG) signal of electrocardiographic (ECG) artifacts. A comparison of the new windowed algorithm with un-windowed algorithm in de-noising electroencephalographic signals was made. It shows that the electro-encephalographic signal at 0.1621 normalized frequency has a signal power of -14.79dB when un-windowed. However, the EEG signal power was lowered to -15.21dB when windowed with least mean square algorithm. The signal to noise ratios in filtering with the new algorithm and the existing un-windowed algorithm based on the above stated parameters are 12.291dB and 11.234dB respectively. This implies that de-noising electro-encephalographic signal of electrocardiographic physiological artifact with Han-windowed adaptive algorithm delivers an enhanced signal output compared to the existing un-windowed algorithm.
Link Lifetime Prediction in Mobile Adhoc Network: A Survey

: In the recent years, wireless technology has enjoyed a tremendous rise in popularity and usage, thus opening new fields of applications in the domain of networking. Without using any fixed structural support the information is exchanging in the network of mobile devices. Such networks are termed as ad –hoc network. One of the most important of these fields concerns mobile ad hoc networks (MANETs), where the participating nodes do not rely on any existing network infrastructure. Ad hoc On-Demand Distance Vector (AODV) is a widely used routing protocol for mobile ad hoc networks (MANETs). The nodes in the network are themselves responsible for routing the packets from the source to the destination. These nodes are also responsible to make the transfer of packets secure. In the mobile Adhoc network environment, a number of factors such as noise, physical obstructions mobility, and weather conditions contribute to the difficulty of accurately modeling the behavior of the lifetime of a link between two mobile nodes. Due to the inherently dynamic nature of the network topology, the current links are frequently broken, and new links are frequently established. Mobile Adhoc network requires reliability and security of data packets. The quality of service must satisfy end to end data packet delivery and no packet data loss. In this paper we provide survey on the effects of mobility on the link lifetime.
Simulation of Reactive Routing Protocols in Mobile Ad Hoc Network : A Comparative Study

— MANET describes distributed, wireless, mobile and multi-hop networks that operate without the benefit of any existing infrastructure except for the nodes themselves. A MANET network cloud is composed of autonomous, potentially mobile and wireless nodes that may be connected at the edges to the fixed, wired internet. Our simulative study on MANET routing protocols and mobility models aims to determine the performance of current MANET routing protocols with respect to various mobility models implemented in ns-2. Routing is a challenging issue in MANET. To the best of our knowledge, no published work is available in the present literature, which compares distinct criteria as we have done to evaluate the performance of the considered routing protocols. Therefore focus in this paper is to compare the performance of two routing protocols DSR and AODV for CBR traffic by varying no. of nodes and mobility in terms of three metrics viz. packet delivery ratio (pdf), end to end delay, and Normalized routing Load(NRL). The simulation is carried out on NS2. The effort allows a fair comparison of the capabilities and limitations of different types of mobility patterns and their suitability for contemporary MANET routing protocols.
Study of Different Routing Protocols in Wireless Sensor Networks

: Wireless sensor networks consist of small nodes with sensing, computation, and wireless communications capabilities.Routing as one key technologies of wireless sensor network has now become a hot research because the applications of WSN is everywhere, it is impossible that there is a routing protocol suitable for all applications. Routing protocols in WSNs are also application specific which has led to the development of a variety of protocols. In this paper, we give a brief survey of different routing algorithms for Wireless Sensor Network and compare their strengths and limitations. Each routing protocol is described and discussed under the appropriate category. The paper concludes with issues open for research.
QSPR studies on the behavior of 2-Thiomethylbenzimidazole (TMBI) during Copper corrosion inhibition efficiency in 1M HNO3

A theoretical study of the behaviour of 2-Thiomethylbenzimidazole (TMBI) against copper corrosion in 1M HNO3 has been performed. This molecule was recently used as corrosion inhibitor. It was found that when the molecule adsorbed on the copper surface, the molecular structure influences the interaction mechanism and by extension the inhibition efficiency. DFT calculations have been used to optimize the geometry of TMBI and to determine the quantum chemical descriptors parameters relevant to its potential action as corrosion inhibitor. Furthermore, equations linking corrosion efficiency and some sets of molecular structure parameters were proposed using the non linear model of Lukovits. The theoretical results were found to be consistent with the experimental data reported.
The First Record of Peritoneal Cavity Temperature in Free-Swimming Dolphinfish Coryphaena hippurus by Using Archival Tags, on the East Coast of Taiwan

Seishiro Furukawa1*, Wei-Chuan Chiang2, Shun Watanabe3,4, Hsiao-Min Hung2, HsienChung Lin2,5 , Hsin-Ming Yeh6, Sheng-Ping Wang5, Kazuki Tone3 and Ryo Kawabe1 1Institute for East China Sea Research, Graduate School of Fisheries and Environmental Sciences, Nagasaki University, Japan 2Eastern Marine Biology Research Center of Fisheries Research Institute, Taiwan 3Graduate School of Fisheries Science and Environmental Studies, Nagasaki University, Japan 4Gunma Prefectural Fisheries Experimental Station, Gunma Prefectural Fisheries Experimental Station, Japan 5Department of Environmental Biology and Fisheries Science, National Taiwan Ocean University, Taiwan 6Coastal and Offshore Resources Research Center of Fisheries Research Institute, Taiwan
Fabrication of Polymeric Micro needle Array by Micromachining & Micro molding

Microneedles are expected to have greater demand in biomedical applications like sensing, electroporation & drug delivery in the future and there is need for development of fabrication process which is simple, economical and productive. Present work discusses about fabrication of PDMS (polydimethylsiloxane) micro needle array electrode for bio-potential signal measurement like EEG by micromachining and micro molding process as PDMS structures are flexible and can withstand relative movement with skin without breaking. Customized tungsten carbide tools are manufactured and used in precision micromachining followed by micromolding process. Study has been carried out to relate the size of tool with the size of microneedles fabricated.
Detection and Recognition of Objects and Providing Purchase links using APIs

: The proposed system is designed to the help the online buyers and the online window-shoppers. The idea is that a lot of people today look to buy goods over the internet, but they need to know the name of the item they wish to purchase and enter the name in the field provided by the online sellers. This project aims to reduce the burden from the buyers. In the proposed system, the user only needs to click the image of the object he/she wishes to look up. The system will detect the object using the detection algorithm. After the object is detected, the system performs an API call requesting a list of products from the online vendor. The API returns the result in a JSON format. The system formats the result in a manner that will be easily accessible to the user.
Topical usage of Tranexamic Acid: Comparative Analysis in Patients with Bilateral Total Knee Replacement

Aim: Topical Tranexamic acid (TXA) application provides maximum concentration of TXA at the bleeding site and avoids potential systemic effects. A number of blinded randomized control trials (RCT) have been published proving its safety and effectiveness. We hypothesised that in a person undergoing total knee replacement, if TXA was used topically on one side, it would reduce blood loss compared to the other. Methods: A cohort of twenty-eight patients who were part of a larger randomized control trial was identified. Each patient had sequential bilateral TKR; one side received placebo in the form of normal saline, while tranexamic acid had been used on the other side. The primary outcome was blood transfusion rate. Comparing the blood loss separately in two knees of the same patient has the added advantage of reducing any bias that may be present due to inherent physiological differences in individuals. Results: 6 (21.5%) patients needed blood transfusion following TKR on the placebo side while none needed on the side where tranexamic acid was used. Average postoperative hemoglobin and haemotacrit drop was 3.2 and 0.09 respectively on the placebo side. This compared to 1.8 and 0.05 respectively on the test (TXA) side. Average drain output on the placebo side was 468.64 ml compared to 261.6 ml on the test side. Conclusion: In the same patient undergoing TKR on both side, topical application of Tranexamic acid resulted in significant reduction of drain output, Hb drop and blood transfusion rates when compared to the knee where it wasn’t used.
STIMULI RESPONSIVE LAYER BY LAYER SELF-ASSEMBLY A NOVEL APPROACHS IN CURRENT DRUG DELIVERY: REVIEW

Layer by layer technique is based on the consecutive adsorption of polyanions and polycations via electrostatic interaction. The recent idea of LbL was taken from the work of Langmuir and Blodgett’s. LbL technology at present identified as an environmental friendly technology in fundamental and applied research. This system finds vast area interest due to their multifunctionality and responsiveness to a multitude of stimuli. The present article focus on the various aspects of LbL system mechanism (Electrostatic interaction, Hydrogen bonding, Hydrophobic interaction, Van der waals forces). Advances LbL such as core scarification, ultrasonic encapsulation, dissolution assisted by cosolvation followed by nucleation and various stimuli (Chemical, Physical, Biological) that can be used in delivery of drug formulated through LbL. LbL system have application in related to targeted delivery in cancer therapy, biosensory application, sustain release of drug multifunctional nanocarriers and nanotoxicity. This review covers the various US patents on LbL system.
Energy Aware Node Mobility Prediction in Mobile Adhoc Networks

— The analysis of human location histories is currently getting an increasing attention, due to the widespread usage of geopositioning technologies such as the GPS, and as well as online location-based services that allow users to share this information. Tasks such as the prediction of person’s movement can be addressed through the usage of this data, in order for offering support for more privileged applications, such as adaptive mobile services through proactive context-based functions. Here we aim to develop a simple and effective scheme to predict when the user will leave from the current location and where he will move to future position. This paper presents a hybrid method for predicting human mobility on the basis of Mobility Markov Chain Models (MMCs). The proposed approach clusters location histories according to their characteristics, and latter trains the MMC model based on mobility history to obtain transition matrix. The usage of MMC allows us to take information of location characteristics as parameters, and also to account with the effects of each individual’s previous actions. The proposed system is a mobility prediction with adaptive duty cycling approach in reducing energy consumption, with a mobility model called Mobility Markov Chain (MMC) for predicting the future location. We report a series of experiments with a real-world location history dataset and from the Life Map dataset, showing that the prediction accuracy is in the range of 65 to 85 percent.
International Journal of Advance Research in Computer Science and Management Studies

Context-aware monitoring is an emerging technology that provides real-time personalized health-care services and a rich area of big data application. The system propose a knowledge discovery-based approach that allows the context-aware system to adapt its behavior in runtime by analyzing large amounts of data generated in ambient assisted living (AAL) systems and stored in cloud repositories. The proposed model facilitates analysis of big data inside a cloud environment. It first mines the trends and patterns in the data of an individual patient with associated probabilities and utilizes that knowledge to learn proper abnormal conditions. The outcomes of this learning method are then applied in context-aware decision-making processes for the patient. A use case is implemented to illustrate the applicability of the framework that discovers the knowledge of classification to identify the true abnormal conditions of patients having variations in blood pressure (BP) and heart rate (HR).
THE EFFECT OF FINANCIAL INCENTIVE ON EMPLOYEE PERFORMANCEIN SOME SELECTED COMMERCIAL BANK IN MOGADISHU SOMALIA

This paper examines the effect of financial incentives on Employee performance. The objectives of this study were to identify the role of financial incentives on employee performance, to find out the challenges facing financial incentives to companies, and To know the instruments or types of financial incentives used as financial incentives in the commercial banks. A questionnaire was used for data collection, which was randomly distributed among 70 staff consisting of employee and managers commercial banks in Mogadishu Somalia. SPSS Software ware used for data analysis. The results of the data analysis showed that the positive and significant association between financial incentives and employee commitment and increase in financial incentives such as promotion and bonuses, enhanced employee commitment which increases the employee’s performance and reduces turnover and employees can only be loyal when their wants and desires are satisfied.
KINETIC STUDY OF OXIDATION OF INOSITOL BY CHROMIUM (VI) IN AQUEOUS PERCHLORIC ACID MEDIUM

The kinetics of the oxidation of inositol by acidic chromium (VI) has been studied spectrophotometrically at 32.0 o C and at constant ionic strength of 1.1 mol dm -3 . The oxidation products were identified by spectral studies. The stoichiometry was found to be 3:2 i.e. three mole of inositol reacted with two moles chromium (VI). The reaction was first order with respect to chromium (VI) concentration. The order with respect to inositol was found to be less than unity (0.84). Increase in H + ion concentration increased the rate. The order with respect to perchloric acid concentration was also less than unity (0.83). The effect of added products, ionic strength and dielectric constant of the medium was studied on the rate of reaction. A suitable mechanism was proposed on the basis of experimental results. The reaction constants involved in the different steps of the reaction mechanism were calculated. The activation parameters with respect to the slow step of the mechanism was determined and discussed. © 2013 Universal Research Publications. All rights reserved
Implementation of Secure Biometric Authentication

Biometric security is concerned with the assurance of confidentiality, integrity, and availability of information in all forms, in this work we are focusing on biometric authentication along with all security assurance. Authentication of a person is an important task in many areas of day-to-day life including electronic commerce, system security and access control. We present Kerberos a client\server authentication protocol which can perform a secure communication over unsecured environments (internet). In this paper, we are proposing a Kerberos protocol to solve the problem of authentication between client and server. When authenticating using Kerberos a series of messages is exchanged between principals and the authentication server, as well as between the principals themselves (the client and server). Tickets must be obtained from the authentication server and then exchanged between the client and server to perform authentication. There is possibility of getting biometric template information by imposter and can change the information which leads to the leakage of information. If the authentication is not being done then there is compromise in security. The problem here is to authenticate using the information of the user without compromise in the security as well as the leakage of information of the individual. To overcome these problems, we are proposing biometric authentication using Kerberos Protocol. It can successfully run over public network for remote access. It can also be implemented to take care of authentication between client and server.
Supplemental Effects of Shochu Distillery By-product on Performance of Japanese Flounder, Paralichthys olivaceus, with Low Fishmeal Diet

Since the development of functional aquafeeds is one of the priority areas for sustaining aquaculture, the study was conducted to determine the efficacy of shochu distillery by-product (SDBP) when dietary fishmeal was lowered. This study targeted Japanese flounder, Paralichthys olivaceus, as an experimental model fish by using four different dietary levels of SDBP such as 0, 4, 8, and 14%, respectively. Twelve fish (initial mean weight=0.5g) were placed in 100L polycarbonate circular tank with four replicates (total 48 fish per treatment). The test diets were hand-delivered twice a day up to satiation level, and fish were cultured under the flow-through system for 56 days. The average water temperature during the whole period of the feeding trial ranged from 11 to 15°C. The results showed that body weight gain (%) and specific growth rates (% day) increased with increased level of dietary SDBP although statistical significance was not detected. Significantly improvement of feed efficiency ratio and protein efficiency ratio were found in higher level of SDBP supplemented groups than control and lower supplemented ones. Survival rates were not significantly affected by supplementation of SDBP. In determining the oxidative condition of the fish the thiobarbituric acid reactive substances (TBARS) were measured, showing that muscle TBARS of fish showed the decreasing tendency with increased dietary SDBP levels. Furthermore, it was found that linoleic acids of neutral lipid fraction in fish liver significantly increased with increased dietary SDBP supplementation. This study demonstrated that dietary SDBP supplementation would be effective for the performances and quality of Japanese flounders. [Mosa Sanzida Sultana, Shunsuke Koshio, Manabu Ishikawa, Saichiro Yokoyama, Ikemura Tomoyuki. Supplemental effects of shochu distillery by-product on performance of Japanese flounder, Paralichthys olivaceus, with low fishmeal diet. J Am Sci 2012;8(11):650-656]. (ISSN: 1545-1003). http://www.americanscience. org. 96
DIAGNOSIS AND PROGNOSIS BREAST CANCER USING CLASSIFICATION RULES

Breast Cancer is highly heterogeneous disease. Breast Cancer Diagnosis and Prognosis are two medical challenges to the researchers in the field of clinical research. Breast self-exam and mammography can help find early diagnosis of breast cancer. This is possible when in some situation or stage the treatment is possible. Treatment may consist of radiation, lumpectomy, and mastectomy and hormone therapy. The origin of this research for diagnosis a breast cancer depends upon a lump in the breast, a change in size or shape of the breast or a nipple. Men can have breast cancer, too, but the number of cases is small. The purpose of this research is to develop a novel prototype of clinical problem regarding to diagnose and manage patients with breast cancer. The primary dataset of breast cancer is carried out from UCI dataset repository for the purpose of experimental work. These experimental works justify the problem formulation of the clinical research using different classification technique. \ Keywords— Breast Cancer, Clinical Problem, Classification Rules, Data Mining, Health Care, Web Mining,Weka.