Miracle-dz/UniFAR-FTUs huggingface dataset:
NIR-II fluorescence in vivo functional bioimaging

Fluorescence bioimaging in the second near-infrared spectral region (NIR-II, 900-1700 nm) can provide advantages of high spatial resolution and large penetration depth, due to low light scattering. In addition, since long-wavelength light with low photon energy is utilized as the excitation and less absorbed by the biological tissues, NIR-II fluorescence bioimaging also has low autofluorescence, as well as negligible photodamage towards biosamples. During the past few years, NIR-II fluorescence bioimaging has experienced rapid development. In this paper, we will introduce some recent research works about NIR-II fluorescence bioimaging in our research group, such as video-rate whole-body/brain/tumour angiography, organ imaging, as well as diagnosis and imaging guided treatment of tumour, on mice and monkeys.
International Journal of Innovative Technology and Exploring Engineering (IJITEE)

Zero knowledge proof is a powerful cryptographic protocol that is utilized to establish data security whilst ensuring and maintaining user anonymity. ZKP has relatively less complex computational requirements as compared to the other protocols for authentication. Conventional authentication schemes are susceptible to attacks such as MiTM, IP spoofing, DoS, replay and other eavesdropping based attacks, when the data is shared across an untrusted network. This paper shows an approach to ensure authentication of a device over an untrusted network whilst maintaining and safeguarding user credentials, by using the concepts of ZKP protocol.
International Journal of Scientific Research in Computer Science, Engineering and Information Technology

537 A Comparative Study on University Admission Predictions Using Machine Learning Techniques Prince Golden1, Kasturi Mojesh1, Lakshmi Madhavi Devarapalli1, Pabbidi Naga Suba Reddy1, Srigiri Rajesh1, Ankita Chawla2 1Department of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab, India 2Assistant Professor, Department of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab, India
A Survey on Offline Prompt Signature Recognition and Verification

— In the age of growing technology, security is the major concern to avoid fraud and forgeries. The Person’s Signature is an important biometric feature of a human being which is basically used to authenticate human personality. A number of biometric techniques have been proposed for personal identification in the past, Such as face recognition, voice recognition, iris scanning, fingerprint recognition, and retina scanning. Signature recognition or signature verification are the most widely known. In this paper issues regarding off-line signature recognitions, existing system, their performance and method for feature extraction are assumed. –There are various methods to signature recognition with a lot of scope to investigate. The method presented in this paper consists of image pre-possessing, feature extraction, image enhancement and noise reduction techniques and finally verifies the authenticity of the signature.
Super Resolution Reconstruction Based on Different Techniques of Registration and Interpolation

A BSTRACT - Resolution enhancement can effectively achieved by process of Super Resolution(SR) techniques with advantages that still Low Resolution(LR) systems can be utilized and less costly. The main object of Super Resolution is to get high resolution, high quality image from Low Resolution images. The process of imagery, the factors including the motion between earth and the platform, atmosphere disturbance, out of focus, non-ideal sampling and so on, all can make the images noisy, blurred and degraded. Super resolution technology is the signal processing based method which can detect and remove the blur and noises caused by the imaging system as well as recover information.Super resolution imaging processes one or more low resolution images acquired from the same scene to produce a single higher resolution image with more information. Recently, it has been one of the most active research areas to get high-resolution image from a low-resolution image, and for the communication purpose it is necessary to compress the information. To achieve SR, first LR images should align properly and fused to get non redundant information. Image resolution can be enhanced by interpolation. In this paper, the various registrations, fusion and interpolation algorithms are designed and implemented which can be used to compress the information which is very helpful for the communication purpose. The performance analysis can be done by PSNR and MSE. The system is implemented using Matlab GUI.
Analysis of Dynamic Instability of a Delta Wing at Transonic Flow

Aeroelastic problem arises in an aircraft structure due to continuous interaction between aerodynamic forces, inertial forces and elastic forces. Wing flutter is one of the major dynamic aero elastic problem which leads to catastrophic failure of structure. The aerodynamic forces acting on the wing vary in accordance with altitude i.e., density and flight speed which contributes to wing flutter. The objective of this article is to predict the dynamic instability of the proposed delta wing model in transonic flow (0.8 < M < 1.2). Delta wing model is drafted using modeling software and both flow analysis and structural analysis is carried out using CFD and FEA approach. The pressure value is incorporated to attain structural deformation due to fluid structure interaction. The resulting structural deformation and stress is studied completely and validated with the help of numerical analysis. Keywords-Deformation, Delta wing, Stress, FSI
A Literature Review –"Robust Target Tracking Algorithms for Infrared Image Sequences ”

— The target tracking has become the key technologies of the image processing technique for the IR imaging sensor. Object tracking is an important task within the field of computer vision. The proliferation of high-powered computers, the availability of high quality and video cameras, and the increasing need for automated video analysis has generated a great deal of interest in object tracking algorithms. The goal of this paper is to review the state-of-the-art tracking methods, classify them into different categories, and identify new trends.
ELLIPSE SHAPED MICRO-STRIP PATCH ANTENNA FOR Ku, K AND Ka BAND APPLICATIONS

The design and analysis of ellipse shaped broad band micro strip patch antenna are discussed in this paper. In modern wireless communication system at the higher frequency, this basically needs all its components to be in compact size. The proposed antenna inspired by ellipse shaped which offer the better performance compare to the conventional antenna. Here, the proposed antenna is one such component that operating in Ku, K and Ku higher frequency band. The impedance bandwidth and radiation characteristics of the designed structure are investigated with the CST software. The proposed antenna offers the VSWR<2 that is better performance in higher frequency band from 14GHz to 31GHz. Obtaining Impendence.
OLIVE LEAVES HERBAL TEA EFFECT IN TYPE 2 DIABETIC PATIENTS WITH PREHYPERTENSION

Olive tree leaves have been widely used in traditional medicine for its antioxidant, antihypertensive, hypoglycemic, hypocholesterolemic and cardioprotective activity. A clinical study was conducted to evaluate the antihypertensive effect of olive leaves herbal tea (50 g of dried and ground leaves in 250 ml of warm water/twice daily for 28 weeks) in type 2 diabetic patients (n=31, 13 women and 18 men) diagnosed with prehypertension. The primary efficacy in reducing of SBP and DPB was seen after only 4 weeks of the study. At the end of the study, blood pressure dropped to normal values in of 53% women and 61.11% of men (-11.2 mm Hg and -6.7 mm Hg for SBP and DBP respectively in women subjects; and -8.3 mm Hg and -6.7 mm Hg for SBP and DBP respectively in men subjects). Olive leaves herbal tea, at the dosage regimen of 500 mg twice daily, may represent an effective diet regimen that lowers blood pressures in type 2 diabetic subjects diagnosed with prehypertension as the JNC 7 report.
Atomic Absorption Spectroscopy Detection of Heavy Metals ( Pb , Hg , As , Cu ) Contamination in the Water of Natural Lakes of District Gorakhpur , U . P . India

Heavy metal contamination in natural water reservoir has been recognized as a major environmental concern due to their pervasiveness and persistence. These heavy metals attain higher concentrations due to bioaccumulation in different part of plants and finally pose serious hazard to animal/human. These heavy metals are nonbiodegradable especially Cu, Hg, Pb; hence there is a need to develop such remediation technique, which would be efficient, economic and rapidly deployable in a wide range of physical settings. Detection of heavy metals in water of natural Lake Ramgarh had large content of Mercury (0.003 mg/L), Lead (0.03 mg/L), and Copper (0.139 mg/L). In other natural lake Maheshara, the amount of Hg, Pb and Cu in water was 0.0003 mg/L, 0.05 mg/L and 0.001 mg/L, respectively whereas in Suraj Kund lake, the amount of Hg, Pb and Cu in water was 0.0009 mg/L, 0.05 mg/L and 0.001 mg/L, respectively. The soil contaminated by these effluents containing water and consumption of fishes of these natural lakes could be hazardous to human beings and their health.
COMPARISON OF THE HYPOGLYCEMIC EFFECT OF FLAX SEEDS AND METFORMIN IN STREPTOZOTOCIN INDUCED DIABETIC RATS

BACKGROUND & OBJECTIVES: Diabetes is characterized by hyperglycemia. Flax seeds are rich in polyunsaturated fatty acids (PUFA’s). Diet rich in PUFAs have an important role in enhancing insulin sensitivity & decreasing blood glucose in diabetic rats. Prior studies have been done by adding flax seeds in diet. To ensure administration, the rats were administered flax seed powder suspension orally by a syringe in the present study. The objective was to compare the hypoglycemic effect of flax seeds with metformin in streptozotocin induced diabetic rats. METHODOLOGY: The study was initiated after approval from the Institutional animal ethics committee. Male albino-Wistar rats were divided into 5 groups with 5 animals in each group. Normal control, diabetic control,10% flax seed powder, 20% flax seed powder & metformin . Streptozotocin 30mg/kg was administered by intraperitoneal route to induce diabetes. Baseline fasting blood glucose and body weight was assessed at the commencement of the study and subsequently after 2, 4 and 14 days. RESULTS: Statistical analysis was done using one way ANOVA. 10% and 20 % flax seeds reduced fasting blood sugar significantly (p< 0.05) when compared to metformin. Among flax seeds, 20% was better in reducing blood sugar significantly (p=0.001). In the 20% flax seed group there was more significant reduction in body weight (p=0.00). CONCLUSION: Based on the results, 20% ejpmr, 2015,2[5], 594-603. SJIF Impact Factor 2.026
The Effect of Some Uterine Infections on the Reproductive Performance of Holstein Frisian Cows in Northern Gezera Dairy Project (Al Bagair)

The aim of this study was to investigate the effect of some uterine infections (UI) on reproductive performance of Holstein Frisian cattle reared in the farm of the Arab Company for Agricultural Production and Processing (ACAPP), about 40 km south of Khartoum at Al Bagair area. A number of 1343 recorded cases of uterine infection covering the period from 1990 to 1999 were studied for their effect on reproductive performance under the prevailing management and environmental conditions. The traits examined were calving interval (CI), days open (DO), and number of services per conception (NS\C) and data were subjected to statistical analysis of variance. The results obtained showed that the overall mean (CI), (DO), and (NS\C), were 394 ± 45.87 days, 110.21 ± 45.75 days, and 2.81 ± 1.1-63 respectively. The mean (CI) were highly significantly affected by the level of (UI) (P≤ 0.01). The results revealed were (397.56 ± 47.67, 395.61 ± 45.79, and 387.17 ± 42.56) at high, medium, and low level of uterine infections respectively. The effect of (UI) on (DO) was not significant (P ≥ 0.05) while the effect on NS/C was significant (P≤ 0.05). The results obtained for (DO) were (111.85± 47.88, 111.22 ± 45.72, and 105.19 ± 42.21 at high, medium, and low level of infection respectively), and for (NS/C )they were (2.93± 1.74, 2.80 ± 1.61, 2.63 ± 1.48) at high, medium, and low level of (UI) respectively.It is concluded that uterine infections had significantly affected the reproductive performance of Holstein Friesian cows in the farm under study .
Effects of Drifts on Synchronized and Unsynchronized Wireless Sensor Network

—Time synchronization is important for a variety of applications in wireless sensor networks including scheduling communication resources, coordinating sensor wake/sleep cycles, and aligning signals for distributed transmission/reception. However, for data consistency and coordination, accurate time synchronization is required between the nodes of WSN field. In this paper, we compare performance of the synchronized and unsynchronized duration of simulation of network using different parameters such as network lifetime, packet dropped, delay and jitter. To validate our design and analysis, we implement the proposed scheme in QualNet 6.1 simulator having 1000 nodes deployed in a 100m X 100m terrain area. Experimental results shows reduces network lifetime and increases delay and packet dropped in unsynchronized drift network when compared with synchronized drift network.
Effects of Isokinetic Eccentric Training on Lower Extremity Muscle Activation and Walking Velocity in Stroke Patients

Purpose: The aim of this study was to determine the effects of isokinetic eccentric training (IET) on lower extremity muscle activation and walking velocity according to slow velocity and fast velocity of isokinetic eccentric training in stroke patients. Methods: Thirty subjects were randomly divided into three groups: experimental group I (n=10), group II (n=10), and control group III (n=10). Each group was provided intervention under three conditions, as follows: isokinetic eccentric training + slow velocity (group I), isokinetic eccentric training + fast velocity (group II), and sit to stand training (group III). The training program was conducted for eight weeks (five times per week; 30 minutes per day). Subjects were measured on lower extremity muscle (vastus lateralis, vastus medialis, gastrocnemius) activation and walking velocity. Analysis of covariance (ANCOVA) were performed for comparison of lower extremity muscle activation and walking velocity between different intervention methods. Results: Significant difference in lower extremity muscle activation and walking velocity was observed in experimental group I and group II compared with the control group III (p<0.01). Results of post-hoc analysis showed a significant in lower extremity muscle activation and walking velocity in group I compared with group II and group III. Conclusion: Findings of this study suggest that slow velocity and fast velocity using isokinetic eccentric training may have a beneficial effect on improvement of lower extremity muscle activation and walking velocity in stroke patients.
DESIGN OF LOW POWER PULSE TRIGGERED DUAL DYNAMIC FLIP FLOP BASED ON A SIGNAL FEED-THROUGH SCHEME

—Flip-flops (FFs) are the basic storage elements used extensively in all kinds of digital designs. In particular, digital designs nowadays often adopt intensive pipelining techniques and employ many FF-rich modules such as register file, Dual Dynamic Flip-Flop Based on a Signal Feed-Through Scheme, and first infest out. A low-power flip-flop (FF) design featuring an explicit type pulse-triggered structure and a modified true single phase clock latch based on a signal feed-through scheme is presented. The proposed design successfully solves the long discharging path problem in conventional explicit type pulse-triggered FF (P-FF) designs and achieves better speed and power performance. Based on post-layout simulation results using cadence CMOS 180-nm technology, the proposed design outperforms the conventional P-FF design data-close-to-output (MHLFF) by 8.2% in data-to-Q delay. In the meantime, the performance edges on power and power-delay-product metrics are 24.6% and 31.7%, respectively.
EVALUATION OF IN-VITRO ANTIOXIDANT AND ANTICANCER ACTIVITY OF MONOCHORIA VAGINALIS LEAVES ON Hep2 AND HeLa CELL LINES

The entire plant (Monochoria vaginalis (Burm. f.) C. Presl. ) except root is being used as a vegetable and has been used in traditional Indian system of medication for treating various diseases. But there are not many scientific data on the antioxidant and anticancer activity of M. vaginalis. Therefore, we aimed to determine the in-vitro antioxidant and anticancer activity of methanolic extract of M. vaginalis leaves. Standard biochemical methods evaluated the phytochemical investigation. In-vitro antioxidant activities of the methanolic extract of leaves were determined against DPPH, hydroxyl radical, reducing power assay, metal chelating activity, and hydrogen peroxide radicals. Also, we evaluated the anticancer activity of methanolic extract on Hep2 and HeLa lines by MTT calorimetric assay. Phytochemical analysis established the presence of rich secondary metabolites of total phenol (52.66 GAE mg/g), and flavonoids (305.88 QE mg/g). The methanolic extract of M. vaginalis exhibited strong antioxidant property (with IC50 value) against DPPH (52.24 mg/ml), hydroxyl radical (76.08 mg/ml), reducing power (58.15 mg/ml), metal chelating activity (35.70 mg/ml), and hydrogen peroxide scavenging activity (59.87 mg/ml). Also, the methanolic extract of M. vaginalis was found to be a potent anticancer activity (with IC50 value) on Hep2 (31.20 ± 0.02 μg/ml) and HeLa (44.58 ± 0.42 μg/ml) cell lines. In conclusion, the methanolic extract of M. vaginalis leaves have strong antioxidant potential and cytotoxicity activity. So, M. vaginalis can be used as a good source of natural antioxidants for health benefits and can be an anticancer agent. However, further study is needed to isolation and characterization of active molecules, which may provide potential benefits source of natural antioxidants and anticancer properties. INTRODUCTION: Oxidative stress defined as the imbalance between the oxidants and antioxidants, and it leads to some chronic illness including diabetes mellitus, cancer, cardiovascular disease, arthritis and aging 1 . Reactive oxygen species (ROS) is the collective term given to a group of free radicals such as superoxide (O2 •), hydroxyl (OH • ), hydrogen peroxide (H2O2) and nitrogen oxide (NO) radicals.
AN ENHANCED APU TECHNIQUE BASED GEOGRAPHIC ROUTING IN MANET USING DESTINATION AWARE ROUTING PROTOCOL

Mobile Ad-hoc Network (MANET) is a set of wireless mobile nodes. These networks are decentralised system. Here nodes communicate with each other without any centralized access points or base stations. In this type of network, each node acts both as a router and as a host at the same time. Routing in MANET is to find the efficient path to transfer the data from source to destination. APU strategy is routing strategy for geographic routing in Mobile ad-hoc network which dynamically adjust the frequency of position updates based on the mobility dynamics of the nodes and the forwarding patterns in the network. The beacon updates include the current location and velocity of the nodes. An Enhanced APU strategy in the proposed system use destination aware routing with minimum distance dynamically adjusts the beacon update intervals based on the minimum distance from source to destination, mobility dynamics of the nodes and the forwarding patterns in the network. Results of the proposed system are compared with Periodic Beaconing on the basis of packet delivery ratio, beacon overhead, energy consumption. Experiment results show a high improvement in results on the parameters discussed.
Gender-Driven Emotion Recognition System Using Speech Signals For Human Computer Intelligent Interaction

 Abstract -This paper proposes a peculiar and very important developing area concerns the remote monitoring of elderly or ill people. Indeed, due to the increasing aged population, Human-Computer Intelligent Interaction (HCII) systems able to help live independently are regarded as useful tools. In this context recognizing people emotional state and giving a suitable feedback may play a crucial role. The purpose of speech emotion recognition system is to automatically classify speaker's utterances into seven emotional states including anger, boredom, disgust, fear, happiness, sadness and neutral state. Emotions have been classified separately for male and female based on the fact male and female voice has altogether different range. It provides a solution by improving interaction among human and computers, thus allowing human-computer intelligent interaction. The system is composed of two subsystems: 1) gender recognition (GR) and 2) emotion recognition (ER). It distinguishes a single emotion versus all other possible ones as in proposed numerical results. Speech based emotion recognition system consists of four principle parts: Feature Extraction, Feature Selection, Database and Classification. Nowadays, the research is focused on finding powerful combinations of classifiers that increases the classification efficiency in real-life speech emotion recognition applications. From these acoustic signals, this project will calculate pitch, short time energy, zero crossing rate and Mel frequency cepstral coefficients, and correlate it to emotions of the driver. We also define these features and the feature extraction methods. In paper, a demonstration on how one can distinguish the emotion based on these features (or combination of features) by testing them over Berlin emotion database
A Review on Self Organizing Map based Data Aggregation Algorithm in Wireless Sensor Networks

-This paper discuss regarding the data aggregationon in wireless sensor network. we've compared two completely different techniques specifically Distributed Detection in Neural Network primarily based Multihop Wireless device Network and AdWAS: adaptive Weighted Aggregation scheme for Single-hop and Multi-hop Wireless sensor Network. Among the two distributed detection in neural network offers better result than the other technique when the two are compared in terms of accuracy of detection
An Implementation of FACE Recognition System (FARS) Using PCA and PSO Based Techniques

— Feature selection (FS) is a universal optimization problem in machine learning, which reduces the number of features, removes irrelevant, noisy and redundant data, and results in acceptable recognition accuracy. It is the most important step that affects the performance of a pattern recognition system. Feature selection aims to choose a small number of relevant features to achieve similar or even better classification performance than using all features. It has two main conflicting objectives of maximizing the classification performance and minimizing the number of features. However, most existing feature selection algorithms treat the task as a single objective problem. In this paper we present a novel feature selection system, FARS, based on combination of particle swarm optimization (PSO) and Principle Component Analysis (PCA). The proposed PSO and PCA based feature selection system is utilized to search the feature space for the optimal feature subset where features are carefully selected according to a well defined discrimination criterion. The classifier performance and the length of selected feature vector are considered for performance evaluation using MATLAB in ORL face database.