Miracle-dz/UniFAR-FTUs huggingface dataset:
An Effective User Recognition Using Mouse Gesticulation

---In this paper, we present a new mouse dynamics analysis framework that uses mouse gesture dynamics for static authentication. The gestures captured are analyzed using Ant Colony Optimization. In behavioral biometric technology, mouse dynamics biometrics is the one that extracts and analyzes the movement characteristics of the mouse input device when a computer user interacts with a graphical user interface for identification purpose. The biggest part of the presented study of mouse dynamics analysis has targeted primarily continuous authentication or user authentication for which promising results have been achieved. Static authentication (at login time) using mouse dynamics, however, there may be some challenges due to the limited quantity of data that can reasonably be captured during such an operation.
An Hybrid Learning Approach using Particle Intelligence Dynamics and Bacterial Foraging Behavior for Optimized PID Parameters Evolutionary Computation of Control System Transfer Functions

the complex optimization problems. The optimization problem search space could be modeled as a social foraging environment where groups of parameters communicate cooperatively for finding solutions to difficult engineering problems [9]. Abstract: The foraging behavior of E. Coli is used for optimization problems. This paper is based on a hybrid method that combines particle swarm optimization and bacterial foraging (BF) algorithm for solution of optimization results. We applied this proposed algorithm on different closed loop transfer functions and the performance of the system using time response for the optimum value of PID parameters is studied with incorporating PSO method on mutation, crossover, step sizes, and chemotactic of the bacteria during the foraging. The bacterial foraging particle swarm optimization (BFPSO) algorithm is applied to tune the PID controller of type 2, 3 and 4 systems with consideration of minimum peak overshoot and steady state error objective function. The performance of the time response is evaluated for the designed PID controller as the integral of time weighted squared error. The results illustrate that the proposed approach is more efficient and provides better results as compared to the conventional PSO algorithm.
Survey on Adaptive Traffic Signal Control

- The objective of this paper is to review the various varieties of control systems present within the conveyance Adhoc Network (VANET). Throughout the last year’s heap of efforts are created to boost the potency of the control System (TCS) to fulfill ever increasing traffic demands. Traffic congestions in urban networks could contribute to adverse impact on the economy, surroundings and so the standard of life. As a result, verdant analysis has been conducted to supply countermeasures through traffic-responsive management ways that. These ways aim to supply machine-driven laws of traffic through varied management methodologies. Our study focuses on each Static and Dynamic control System.
LIGAND BASED PHARMACOPHORE MODEL DEVELOPMENT FOR ANTI ANDROGEN RECEPTOR DRUGS FOR TREATING PROSTATE CANCER

The computational modeling and high throughput screening techniques have been used to identify small molecules that specifically target functional surface sites of the androgen receptor in Prostate cancer. Pharmacophore modeling, Virtual screening, docking based analyses is used for development of new chemical entities. The purpose of the current work is to establish pharmacophore model for the FDA approved anti-androgen receptor drugs of prostate cancer by using the software Ligand Scout 3.1, The data sets for the anti-androgen compounds were downloaded in.sdf format from Pubchem database. The model consists of five hydrogen bond acceptors, and one hydrophobic moieties and one aromatic ring which are defined as essential feature for androgen receptor inhibitors. Then the derived pharmacophore model was compared with the Zinc database of available standard anticancer drugs, Virtual screening of ZINC chemical databases leads to identification of one hit, and this compound can be useful for the design of future targets and development of new drugs to cancer. The newly obtained compound is then docked with androgen receptor with the help of Autodock Vina 4.0. The result obtained from the present study suggests that the application of ligand based pharmacophore could assist in selection of potential leads for rational design of androgen receptor inhibitors in prostate cancer therapy. INTRODUCTION: Prostate cancer is predicted to be the leading cause of cancer-related death in men over the next decade 1 . In its early stages and when localized to the prostate, this cancer can usually be cured by surgery or radiation therapy. However, for advanced, metastatic or recurrent disease, alternative systemic treatments are required. In this regard, the androgen receptor, a ligand-inducible transcription factor, is considered to be central for Prostate cancer development, growth and metastasis 2 .
ENERGY EFFICIENCY ROUTING PROTOCOL FOR WIRELESS SENSOR NETWORKS BASED ON CLUSTER-TREE

As a typical routing algorithm of hierarchy for wireless sensor networks (WSNs), LEACH is a good solution for energy efficiency. However, LEACH still has some disadvantages, such as unreasonable structure of clustering, direct communication between all cluster heads and sink node, which brings high energy consumption. An improved routing algorithm based on LEACH, known as ILEACH, is proposed in this paper. Firstly, the ILEACH employed the residual energy to form clustering, which can avoid the low energy node becoming a clusterhead. Secondly, an energy function is proposed to balance the energy consumption among clusterheads. Finally, a data aggregation tree is constructed to transmit the data from the clusterheads to sink node. Simulation results show that the proposed algorithm provides higher performance and longer network lifetime, compared with LEACH.
The Addition of Crude Fish Oil in Feed to Improvement of the Content Triglycerides and Oleic Acid in Mudcrab Meat (Scylla Serrata)

Mudcrab (Scylla serrata) is one of fishery resources, which economic value is high and can be potentially cultivated. Some of fatty acids are found in the body or in the feed, especially those, which are combined into one complex compound of triglycerides. Omega-9 functions to reduce the cholesterol level and triglyceride can reduce the stimulation of clotting grains of red blood cells and reduce the blood pressure, preventing any hardenings of the arteries, as well as retarding the growth of cancer cells. One of the ingredients, which can increase the level of Omega-9 in the mudcrab meat is Crude Fish Oil (CFO), derived from Sardinella Lemuru.The purpose of this research is to determine the addition of CFO on trash fish feed to decrease triglycerides and increase the content of oleic acid in the mudcrab meat. In this research, the doses of CFO added in trash fish feed are: treatment of P0 (0%), P1 (2%), P2 (4%), P3 (6%) and P4 (8%). The results shows that the addition of CFO on the feed provides a significantly different effect (P <0.05) toward the content of triglycerides in the mudcrab, while the content of omega 9 is not significantly different (P> 0.05). The lowest content of triglycerides in the mudcrab lowest is in treatment P4 of 8% CFO, which is significantly different from other treatments. The low content of oleic fatty acid is in the control treatment, which is not significantly different from other treatments.
Improved Visual Cryptographic Scheme Using Average Filter and Additional Pixel Patterns

: Visual cryptography (VC) is a kind of secret image sharing scheme that uses the human visual system to perform the decryption computations. Contrast is one of the most important parameter in visual cryptography schemes. Usually, the reconstructed secret image will be darker than the original secret image. Additional pixel patterns are used to improve the contrast of the reconstructed secret images. The proposed scheme applies filterto reduce the noise and to improve the contrast in the reconstructed secret images.
A Survey Report on Secured Data Outsourcing in Cloud Computing

: - Cloud computing allows for an economically promising paradigm of computation outsourcing. Nonetheless, the way to look after buyer’s exclusive data processed and generated for the period of the computation is becoming the foremost security quandary. Focusing on engineering computing and optimization duties, this paper investigates at ease outsourcing of commonly applicable linear programming (LP) computations. Regardless of the large benefits, security is the predominant difficulty that prevents the wide adoption of this promising computing model, primarily for users when their confidential data are consumed and produced for the duration of the computation. On the one hand, the outsourced computation workloads in general incorporate sensitive data, such as the business financial records, proprietary study data, or in my view identifiable health information etc. To combat against unauthorized data leakage, sensitive data need to been crypted before outsourcing as a way to furnish end to-finish data confidentiality assurance within the cloud and past. Nonetheless, ordinary data encryption strategies in essence avoid cloud from performing any significant operation of the underlying plaintext information, making the computation over encrypted data an extraordinarily hard trouble. Alternatively, the operational details within the cloud will not be transparent sufficient to patrons. For that reason, there do exist quite a lot of motivations for cloud server to behave unfaithfully and to return improper outcome, i.e., they may behave beyond the classical semi honest model. This paper focuses generally on the Linear programming computations that take place over cloud with whole protection.
Transition Region-Based Thresholding using Maximum Entropy and Morphological Operations

— Thresholding method based on transition region is a new approach for image segmentation. In this paper, a novel transition region extraction and thresholding method based on maximum entropy and morphological operations. Hence, the proposed algorithm can accurately extract transition region of an image and get ideal segmentation result. The proposed algorithm was compared with maximum entropy and Niblack algorithm on a real world images, and the experimental results show the effectiveness and efficiency of the algorithm.
Effect of Hydroponic Barley Fodder on Awassi Lambs Performance

The objective of this research was to investigate the effect of feeding hydroponic barley (HB) on the performance of Awassi ram lambs. A total of 50 weaned lambs were used in a feeding trial by dividing it into two groups. The first was fed a total mixed ration diet (control) while lambs in the second group were fed similar ration except that barley grain was totally replaced by HB for 90 days feeding trial. Lambs were fed ad libitum twice per day and had a free access to fresh water. Feed offered and refusals were collected, body weight gain was measured weekly, and feed conversion ratio (FCR) was calculated. Results of the experiment showed that HB had a positive effect (p<0.05) on feed intake, final body weight, total gain, average daily gain, and FCR on lambs fed the HB diet when compared to lambs fed the control diet. In conclusion, HB can be used as feed for lambs in the fattening period to enhance their growth performance. Keywords : Awassi ram lambs, Hydroponic barley, Growth performance.
Music ’ s Influence on Short-Term Emotional States and Perception of Faces

Music is believed to be able to elicit specific mood states. The current study examined the impact of different emotionally-toned musical pieces on participants’ short-term mood states. In addition, the impact of differing musical forms on participants’ perceptions of depictions of facial expression was also examined. Specifically, we sought to determine whether happy music would increase positive emotion while sad music was associated with more negative mood states. In addition, it was hypothesized that facial expressions would be rated happier with happy music, and conversely, sad music would result in sadder ratings. Participants were 52 male and female students from a midwestern U.S. university who were randomly assigned to listen to either happy or sad music. Prior to listening to the music, they completed the Multiple Affect Adjective Checklist-Revised (MAACL-R). While listening to approximately 9 1⁄2 minutes of music, participants rated four facial expressions at predetermined intervals. The MAACL-R was then re-administered. Results indicated that sad music was associated with a significant reduction in positive moods. However, happier music was not associated with an increase in positive mood nor was sad music related to increases in negative mood. In addition, there were no significant effects of musical type on facial expression ratings. The current findings are discussed in the context of previous studies in this area.
TRANSMISSION RISK REDUCTION IN IMAGE SHARING SCHEME WITH DIVERSE IMAGE MEDIA

The main aim of this project is to avoid the transmission risk problem during sharing an image in a network. Regular visual secret sharing (VSS) schemes hide secret images in shares that are encoded or stored in digital form. VSS scheme increases interception risk during transmission of the shares because the shares can looks like noise-like pixels or as meaningful images. For the secret itself and for the participants who are involved in the VSS scheme, VSS schemes suffer from a transmission risk problem. To avoid this problem, we proposed a natural-image-based VSS scheme (NVSS scheme). To protect the secret and the participants during the transmission phase, NVSS schemes shares secret images via different carrier media. NVSS scheme involved can share one digital secret image over arbitrary selected natural images (called natural shares) and one noise-like share. The noise-like share is initiated based on these natural shares and the secret image. The unaltered natural shares greatly reducing the transmission risk problem because the natural shares are diverse and safe. We also proposed possible ways to conceal the noise-like share to decrease the transmission risk problem for the share.
Effects of Temperature conditions on the synthesis of nanocrystalline hydroxyapatite by using polyol method

-Nanoparticles of hydroxyapatite (HA) were synthesized by involves precipitation and hydrolysis reactions conducted in polyol medium under atmospheric pressure. It was found that the solvent had an effect on the formation of HA and degree of crystallinity and temperature as well. The influence process of was discussed in details. The crystal morphology and particle size were analyzed by Transmission Electron Microscopy (TEM), the thermal analysis by TGA/DTA and the compositions and chemical structures were identified by X-ray diffraction (XRD) and Fourier Transform Infrared Spectroscopy (FTIR).
 Authentication and Identification of Multiple Target Action Using Multi Target Tracking

: Tracking multiple targets in video sequences has been used for many applications like security monitoring, traffic flow measuring, and accident detection on highways. The main aim is to obtain a record of the trajectory of the moving objects such as humans or vehicles over space and time by processing the data. There are many problems arise in the moving target detection in which the object can undergo non-rigid deformations, rotations or occlusions. In multiple target tracking, the video is selected from the video set and converted in to number of frames based on the video data. After that, filtering process is applied to the video frame to filter the noise in pre-processing step, and adjust the neighbourhood pixels in the frame. Then the frames are converted into grayscale image using the background subtraction method and the connected components are estimated and identified by using the moving objects detection. The boundary box is plotted around the moving object in the video. Then the resulting identified object is compared with the image dataset to recognize the person in the video. The dataset which is used to store the 50 images of the authenticated persons. Then the group of person’s action is identified using the action dataset.
The Relationship between Organizational Structure and Organizational health (Case study of Bureau of Security and Training Affairs of Prisons in West Azerbaijan)

It's evident that in order to have a healthy society, healthy organizations must be built, also in order to establish healthy organization initially proper structure to that must be recognized. So the purpose of the current research is to study the relation between organizational structures with healthy organization. Present research is descriptive-survey research with applied purposes. Statistic population of the study were including all employees of general office of prisons and security and training affairs of West Azerbaijan. Sample size estimated to be 100 people based on Cochrane formula who have been selected through random sampling method. Data gathering tools of the study were Robins' standard questionnaire for organizational structure and standard questionnaire Howie and Feldman for organization heath. Validity of the questionnaire being confirmed by the experts and instructors views and its reliability tested by the Cronbach's alpha method that was (α<%88). Research results were analyzed by the SPSS software and Spearman-Freedman correlation test. The test results showed that Spearman test estimated to be 0.500 for complexity, formality 0.635 and for concentration was 0.713. These results indicated that all organizational structures with the significance level of less than (0.005) had the direct and strong relation with healthy organization. We found out that gender had no effect on organization structure and health (P>0.005). Research results indicate that organization health and dimension of organization structure have positive and significant relation together. Formality dimension had the most effect (2.46) over the organizational health. It will be suggested that with greater supervision over organization structural quality and devolution to the senior managers' leads improve the organizational quality and make organization more concentrated.
FORTIFIED COMPOST MANURE IMPROVES YIELD AND GROWTH OF AFRICAN NIGHTSHADES

Response of three African nightshade species subjected to different levels of fortified compost manure was evaluated in a field experiment conducted for two seasons in 2006/2007. The three African nightshades were: Solanum villosum Miller, Solanum americanum Miller and Solanum scabrum Miller. The species were subjected to four levels of fortified compost manure applications (2t/ha, 4t/ha, 6t/ha, 8t/ha) and no manure application as the control. The experimental design was a Randomized Complete Block Design with 15 treatment combinations. Data collection started three weeks after transplanting and continued for nine weeks. The colleted data were subjected to analysis of variance (ANOVA) using a Mixed Models procedure of SAS. Biomass accumulation and average edible yield were affected by compost manure application. Of the three species, S. americanum subjected to 8 t/ha compost manure level gave the highest yield of 5.2 t/ha. The height and internode lengths of the same species were increased by an average of 34% and the stem thickness by 30% compared to the control over the two seasons. Longer internodes, thicker stems and higher number of branches as exhibited by S. americanum are good characteristic as these parameters improve on the amount of harvestable biomass that often include tender stems
DESIGN OF PARALLEL CRC GENERATION FOR HIGH SPEED APPLICATION

— Error detection is important whenever there is a non-zero chance of data getting corrupted. A Cyclic Redundancy Check (CRC) is the remainder, or residue, of binary division of a potentially long message, by a CRC polynomial. This technique is ubiquitously employed in communication and storage applications due to its effectiveness at detecting errors and malicious tampering. The hardware implementation of a bit-wise CRC is a simple linear feedback shift register.This means that ‘n’ clock cycles will be required to calculate the CRC values for an n-bit data stream. Parallel CRC calculation can significantly increase the throughput of CRC computations. In this paper CRC-32 is design for Ethernet application. This paper presents implementation of parallel Cyclic Redundancy Check (CRC) based upon DSP algorithms of pipelining, retiming and unfolding. The architectures are first pipelined to reduce the iteration bound by using novel look-ahead techniques and then unfolded and retimed to design high speed parallel circuits.The methodology to be employed with VHDL, Xilinx ISE for simulation and test benchverification.
J Gynecol 2016, 1(4): 000122

Background: Lack of hospital preparedness to perform an emergency cesarean section (EmCS) contributes to maternal morbidity and mortality. Pregnancy outcomes are affected by the Decision to Delivery interval (DDI) yet this time and its effect had not been known in St. Francis hospital Nsambya especially, whether we achieve the 30 minutes’ interval that is globally advocated for. Objective: This study aimed to determine the average DDI, its variations with the indications for Emergency cesarean sections and how it affects the maternal and fetal outcomes among women delivering in St. Francis hospital Nsambya. Methods: This was a cross-sectional study implemented between September and December 2015 at St. Francis Hospital Nsambya’s postnatal ward. The study population comprised 297 women, consecutively selected, having undergone EmCS. Eligible women were consented and interviewed on either the second or third post-operative day. Their medical records were reviewed and data collected using a structured questionnaire. The DDI was recorded, including time of arrival in theatre and time of anesthesia. Maternal and newborn outcomes were recorded. Double data entry into Epi data software was done, cleaned and exported to stata for analysis. Bivariate and multinomial regression analyses were applied to control for probable confounders. Results: The average DDI was 92 minutes (SD±44.2) The average time from decision to arrival in theatre was 30minutes and from arrival in theatre to anesthesia was 31 minutes. Only 0.7% of participants had a DDI within 30 minutes. The more urgent the indication, the shorter was the DDI. (P = 0.028). The DDI had no significant effect on the maternal outcome, however prolonged stay in theatre was associated with adverse maternal outcome (P = 0.004). 43.4% of babies had an adverse outcome but this had no association with DDI. One still birth had a DDI above 60 minutes. The day-time CS were associated with longer DDI than night time CS but this was not statistically significant. There was no maternal or fetal adverse outcome in mothers who’s DDI was within 30minutes. Conclusion: The average DDI for EmCS in Nsambya hospital is 91.89 minutes. This DDI did not significantly affect the outcome of the mother and the baby. A DDI of 30 minutes is not an absolute threshold for influencing obstetric outcome. Delays in theatre were associated with significant maternal morbidity. Research Article