Miracle-dz/UniFAR-FTUs huggingface dataset:
ANALYSIS AND MODIFICATION OF RICE GOLOMB CODING LOSSLESS COMPRESSION ALGORITHM FOR WIRELESS SENSOR NETWORKS

Wireless sensor networks (WSN) are network that are constructed using number of sensor nodes distributed and connected wirelessly to perform some specific applications. These networks are strictly restricted in the usage of energy as they use batteries with finite amount of power. This necessitates the need for data compression at each sensor node in a WSN so as to overcome the resource constraints of the network and increase its lifetime. Various functions carried out by each node are sensing, processing, communicating and storing the data, among which the communication consumes much energy than the other functions. Data compression is one technique that extends the network lifetime by reducing the energy consumed at each node during communication. The proposed work comprises of 5 different methods that suggests modification of lossless Rice Golomb Coding (RGC) compression algorithm with respect to the decision of tunable parameter based on preprocessing of the input data. Simulation results on various modifications of RGC using different datasets in MATLAB software is analyzed and compared with respect to root mean square error (RMSE) and saving percentage (SP). The modified lossless compression algorithm EMARGC_D with better saving percentage is applied and executed in real time using NI WSN nodes interfaced with LabVIEW.
A Survey on Coded Cooperative Communication

Cooperative communication gains much research attention nowadays to meet the high data rate in cellular networks and wireless ad-hoc networks. User cooperation is promising techniques to improve the performance of wireless networks, where multiple nodes share their resources to achieve transmit diversity. Coded cooperative communication is one of the cooperative system in which cooperation is combined with channel coding there by achieve inherent benefits of spatial diversity and added benefits of channel coding. In coded cooperative communication instead of repeating the codeword each user tries to add some incremental redundancy for its partner. Space time cooperation is an extension to coded cooperative communication in which the second frame itself enjoys the path diversity.
Dietary Protein Effect on Parakeet Reproduction , Growth , and Plasma Uric Acid

The effect of dietary protein level on reproductive performance, chick growth, and plasma uric acid in parakeets was studied. The treatments consisted of three isocaloric diets (3200 kcal of metabolizable energy per kilogram) containing 13.5%, 18.2%, and 25% protein (analyzed) and a vitamin and mineral supplemented commercially available seed diet (13.4% protein, analyzed). One hundred five pairs were assigned to four dietary treatments. Twenty-nine pairs were assigned randomly to each of the isocaloric diets, and 18 pairs to the supplemented seed diet. Protein level had no effect (P > .05) on number of eggs laid, number of fertile eggs, or number of chicks hatched in any of the diets tested. However, number of chicks weaned per pair was lower (P < .05) in pairs fed the supplemented seed diet. Growth of chicks, at 7, 21, and 35 days of age was similar (P > .05) among the four dietary treatments. Blood was taken from breeders at the start and end of the trial, and from chicks at 21 days of age. No differences (P > .05) were seen in plasma among breeders fed isocaloric diets with different protein levels. Breeders on the supplemented seed control had a higher (P < .05) plasma uric acid at the end of the trial than those fed the other diets. No differences (P > .05) were observed in plasma uric acid between chicks from parents fed the isocaloric diets with different protein levels, but chicks from breeders fed the supplemented seed diet had higher (P < .05) levels than chicks from breeders fed the other three diets.
A Neural Network-Bacterial Foraging Algorithm to Control the Load Frequency of Power System

In this paper, a neural network (NN)-bacterial foraging algorithm (BFA) is proposed to control the load frequency of the power system. Traditionally, the tumbling decision element of BFA is defined by the stochastic values. But, these values are changed as per the variations of chemotactic step size so that the convergence time is increased. Here, NN is used to ensure the distribution of stochastic value with respect to the chemotactic step size and thus the performance of BFA is enhanced. The feed forward NN is used here with back propagation training algorithm. Using the proposed controller, the controller error, load changes, and speed changer position are tuned and the stability of the interconnected power system is improved. The proposed tuning controller is implemented in MATLAB/Simulink platform and the load frequency control responses are evaluated. The performances of proposed controller are compared with those of the PID controller and the BFA-PID controller.
Optimization of Character Gaze Behavior Animation using an Interactive Genetic Algorithm

Character animation is required to appear as natural as human motion. Toward that goal, the approach that is followed is to ensure that the expression appears as natural as human expression by adding gaze behavior to the contextual situation and by adjusting the environment to the general behavior animation. However, a detailed understanding of some gaze control parameters is required for users to create the intended gaze behavior animation that is suitable for situations in which the gaze controller is used. It is difficult for beginners and users who are inexperienced in creating character animation to ensure that the user feels adequate because trial-and-error adjustments are required. In this paper, we propose a method for optimizing character gaze behavior animation by using an interactive genetic algorithm (IGA) based on the viewer’s preference such as “where to gaze” and “how to gaze” without the need to manually set the gaze control parameters. We translate a character’s gaze motion into parameters for the gaze controller. Furthermore, we obtain the optimized gaze target and control parameters such that the viewer experiences natural gaze animation when using the IGA. The experiment compared the viewer’s impression of the method and the result they obtained by using manual creation with that obtained by the proposed method. The results confirmed that the proposed method enables the user to quickly and easily create gaze behavior animation of the same quality possible by using manual creation.
Minkowski Island and Crossbar Fractal Microstrip Antennas for Broadband Applications

The paper presents microstrip patch antennas, which are based on the fractal antenna concept, and use planar periodic geometries, providing improved characteristics. The properties of the fractal structure were used in a single-fractal layer design as well as in a design, which employs fractals on both the upper and bottom layers of the antenna. The final structure, i.e., a double-fractal layer antenna has been optimized to enhance bandwidth and gain of the microstrip antenna. The proposed geometry significantly improved antenna performance. The antenna could support an ultra-wide bandwidth ranging from 4.1 to 19.4 GHz, demonstrating higher gain with an average value of 6 dBi over the frequency range, and a radiation capability directed in the horizontal plane of the antenna.
Waste pickers and cities

The occupation of waste picker has taken on new importance as a livelihood, especially since the last global economic downturn. Increasingly, waste pickers are being recognized for their valuable contributions to urban sustainability and development. Drawing from scholarship on waste pickers, and findings from a recent study conducted in five cities across three continents, this paper discusses the environmental and economic contributions of informal waste pickers to cities. This paper argues for the re-conceptualization of solid waste management systems that integrate waste pickers as partners, as key to building just, inclusive and livable cities for all. It also presents a specific model in which informal waste workers are integrated as key stakeholders as one example of best practice in this area, thus contributing to current discussions on integrated and inclusive solid waste models.
Growth response and serum biochemical parameters of starter broiler chickens fed toasted African yam bean (Sphenostylis stenocarpa) seeds meal with enzyme supplementation

This study was conducted using one hundred and fifty one day old Marshal (R) strain of broilers to determine growth response and serum biochemistry parameters of toasted African yam bean seed meal (AYBSM) with enzyme supplementation. Five diets were formulated such that African yam bean seed meal replaced soybean meal at 0, 5, 10, 15 and 20 % for diets 1, 2, 3, 4, and 5 respectively. Diets 2, 3, 4 and 5 were enzyme supplemented at the rate of 100 g/1000 Kg of the feed . The birds were randomly assigned to the five dietary treatment groups in a completely randomized design (CRD) experiment. Each treatment had thirty chickens which were replicated three times with ten chickens per replicate. The parameters measured were body weight, feed intake, feed conversion ratio, weight gain, mortality, total protein, albumin, globulin creatinine, cholesterol, aspartate amino transferase, alkaline phosphate and alanine aminotransferase. The experiment lasted for five weeks. Result revealed that test diets group performed better than control (0%) i.e., test diet ranged between 929.77 (g)-1216.51 (g) while control had 800.00 g. 20 % AYBSM had least (2.03) feed conversion ratio (FCR) while control (0 % AYBSM) gave highest (2.97 g) FCR. There were no significant differences (p>0.05) in serum biochemistry analyzed except albumin and total protein that were significantly (p<0.05) affected. The chickens fed on control had highest value of albumin level (2.07 g/dl) while chickens placed on 20 % AYBSM gave least value of 1.67 g/dl, similar trend was observed for total protein. Toasted African yam bean seed meal with enzyme supplementation improved growth performance of at the broiler starter phase and had no negative effect on serum biochemistry measured. It is concluded that Toasted AYBSM can be used up to 20 % in broiler starter diets.
Patterns of species richness, endemism and environmental gradients of African reptiles

To map and assess the richness patterns of reptiles (and included groups: amphisbaenians, crocodiles, lizards, snakes and turtles) in Africa, quantify the overlap in species richness of reptiles (and included groups) with the other terrestrial vertebrate classes, investigate the environmental correlates underlying these patterns, and evaluate the role of range size on richness patterns.
Feasibility of Remote Management of Uncomplicated Urinary Tract Infection: A Quality Improvement Project

Uncomplicated cystitis is a common condition that many women encounter in their lifetimes. The subjective symptoms that patients provide to their clinician are a critical component in the providers’ diagnosis. Traditionally, uncomplicated cystitis is diagnosed and treated during a face-to-face consultation in primary care offices, urgent care centers and emergency departments. Quite often, clinicians treat their patients based upon their initial presenting symptoms, regardless of the point of care testing and before urine culture results are available. The purpose of this project was to determine how often subjective symptoms of uncomplicated urinary tract infections (UTIs) are associated with treatment sensitive to subsequent urine cultures. A comprehensive literature review was performed. The ACE Star Model of Knowledge Transformation was utilized to guide the research process. Data collection took place at Concentra Urgent Care in Warwick, RI after agency approval and IRB review. Eighty-four medical records of premenopausal (ages 18-45) non-pregnant females treated for UTI between January 1, 2016 and July 1, 2016 were reviewed during a retrospective chart review. Thirty-seven participants met the inclusion criteria for uncomplicated cystitis and presented with subjective symptoms of dysuria, urinary frequency and urinary urgency. Findings were consistent with research performed by Barry et al. (2001) and Hooton (2012). Barry et al. concluded that 64% of patients were appropriately treated remotely based upon subjective symptoms. Hooton also concluded that 90% of patients could be treated with appropriate antibiotics based upon their subjective symptoms. This research validated that 85.29% of patients could have been treated appropriately based solely on their subjective symptoms of uncomplicated cystitis. Recommendations and implications for advanced practice nursing are discussed.
How can IT Contribute to Servitization in Manufacturing Firms? An investigation of the strategic role of the IT organization

______________________________________________________________ I ZUSAMMENFASSUNG ____________________________________________________ II FIGURES AND TABLES ____________________________________________________ V ABBREVIATIONS _________________________________________________________ VI 1.1 Problem under Study and Research Gap _____________________________ 1 1.2 Research Questions ______________________________________________ 2 1.3 Outline of the Thesis ______________________________________________ 3 1.4 The Industry Partner Detecon _____________________________________ 3 2.1 Literature Review Approach ________________________________________ 5 2.2 Servitization _____________________________________________________ 6 2.2.1 Related Terms and Research Communities _______________________ 6 2.2.2 Drivers of Servitization ________________________________________ 8 2.2.3 Forms of Servitization_________________________________________ 9 2.2.4 Challenges in Moving into Services _____________________________ 10 2.2. 5 The Service Paradox ________________________________________ 12 2.2. 6 Measuring Servitization ______________________________________ 12 2.2. 7 The Process of Servitization___________________________________ 13 2.3 Dynamic Capability Framework ____________________________________ 14 2.3.1 The Evolution of Dynamic Capabilities ___________________________ 15 2.3. 2 Capability Building __________________________________________ 15 2.3. 3 Operational Capabilities ______________________________________ 16 2.3. 4 Dynamic Capabilities ________________________________________ 17 2.3. 4.1 Sensing Capabilities _________________________________ 18 2.3. 4.2 Seizing Capabilities __________________________________ 18 2.3. 4.3 Reconfiguring Capabilities ____________________________ 19 2.4 The Role of IT for Servitization _____________________________________ 19 2.4.1 Vision of IT ________________________________________________ 20 2.4.2 Mission of IT _______________________________________________ 22 2.4.3 IT Governance and Degree of Centralization ______________________ 22 2.4. 4 IT Controlling Cost structure of IT _____________________________ 26 3.1 Research Type and Approach _____________________________________ 32
The Financial Costs Associated with Porcine Cysticercosis and Epilepsy in Iringa Rural District

Taenia solium cysticercosis is a zoonotic disease that poses serious public health risk and significant economic losses in the pig industry. Human neurocysticercosis is recognized as an important cause of epilepsy in regions where T. solium is endemic. The monetary burden caused by T. solium cysticercosis condemned pigs and epilepsy is under-reported in Tanzania, Iringa rural district being no exception. The aim of the present study was to estimate the financial costs associated with porcine cysticercosis (PCC) and epilepsy in Iringa rural areas. The study employed questionnaires and interviews to explore the public health and socio-economic impacts of T. solium cysticercosis. A total of 365 randomly selected participants comprising of 306 pig farmers and 59 families with epileptic patients were involved in the survey. The findings indicated that the average selling price was USD 84 for mature pigs and ranged from USD 13 - 27 for piglets. The estimated annual monetary loss due to PCC was USD 144,449. The estimated monetary burden due to epilepsy management in hospitals and/or by traditional healers was USD 78,592 per annum. It is concluded that the monetary burden incurred by pig farmers due to PCC caused economic loss at both the subsistence and commercial levels. Yet, epilepsy has serious potential economic impacts through direct and indirect costs incurred on the management of epileptic patients from family to national level. It is hence recommended to practice indoor pig keeping for the elimination of economic losses caused by PCC infection. There is an urgent need to raise awareness on the economic burden caused by porcine cysticercosis and epilepsy in Iringa rural district.
de EFFICIENT WATERMARK EMBEDDING FOR WEB IMAGES

Digital watermarking is a promising solution for image piracy tracing, because it can generate unique individual image copies by embedding transaction watermarks. For web applications, however, it is difficult to integrate watermarking technique for real time embedding because the computational demand of the embedding process is usually too high for web servers. In this paper, we present a solution to this problem by using the watermarking container concept. The implementation problems and corresponding solutions for applying the container approach to web images are addressed. Experimental results demonstrate the efficiency of the proposed solution.
The Novel Algorithm for Under Water Image Enhancement

The reduction of light that movements during the water standard results the underwater image to undergo from some problems. Low contrast and color presentation, appearance of haze are the problems that resulting the image to loss crucial information. In addition, the objects in the image are hardly differentiated from the environment. Consequences beginning this trouble, this paper expand the methods of enhancing the worth of underwater image with the aim of recovering the image contrast and enhance the color performance, removing of haze. The proposed method consists of various stages. The first method which contains a haze removal algorithm followed by a Contrast Limited Adaptive Histogram Equalization (CLAHE) color model has been introduced. For that reason mainly, we concentrate on the underwater image enhancement all through haze removal algorithm by dark channel prior technique. But, it has propensity to darken the image in some state of affairs but shows a highquality result by dropping haze and noise outcome. In order to get better the dehazing result, a histogram equalization technique has been in use. MIX-CLAHE on RGB and HSV color model has been followed in our approach to modify the level of contrast and intensity of dehaze image. In the end, a color correction technique and trilateral filtering is applied for visually considerable effect has been used. Our new outcome give you an idea about that the proposed algorithm has extensively improved quality of underwater images visually as well as quantifiably by enhancing the contrast of the image and degrade the noise as well as artifacts in the image.
Knowledge and Cooperation Determinants of Innovation Networks: A Mixed-Methods Approach to the Case of Portugal

Systemic perspectives of innovation integrate complex interrelations among enterprise, science and technology, and governance spheres. Innovation networks are crucial within innovation systems and refer to the linkages of a variety of actors with the purpose of innovation. In this article, the determinants of innovation networks are analyzed using a qualitative original database of online information about 623 organizations in Portugal. A binary econometric regression for all types of entities is estimated. The model underlines that actors using external technologies and promoting knowledge are more likely to innovate. In parallel, actors that are involved in managing and supporting entrepreneurship have a smaller probability to do it. Advanced firms and universities are the actors more willing to dynamically innovate. Specific models for firms and universities create a direct comparison between the determinants in both collectives. While promoting knowledge and specific orientation towards innovation is essential for firms it is not relevant for universities. Managing knowledge is the crucial catalyst for the innovation practices in universities. External technological linkages are essential for both types of actors in the creation of innovation networks. The article concludes with policy implications regarding the support of cooperation activities to instigate innovation.
Mining maximal cliques from large graphs using MapReduce

Maximal clique enumeration (MCE), a fundamental task in graph analysis, can help identify dense substructures within a graph, and has found applications in graphs arising in biological and chemical networks, and more. While MCE is well studied in the sequential case, a single machine can no longer process large graphs arising in todays applications, and effective ways are needed for processing these in parallel. This work introduces PECO (Parallel Enumeration of Cliques using Ordering); a novel parallel MCE algorithm. Unlike previous works, which require a post-processing step to remove duplicate and non-maximal cliques, PECO enumerates maximal cliques with no duplicates while minimizing work redundancy and eliminating the need for an additional post-processing step. This is achieved by dividing the input graph into smaller overlapping subgraphs, and by inducing a total ordering among the vertices. Then, as a subgraph is processed, the ordering is used in tandem with a sequential MCE algorithm to reduce redundant work while only enumerating a clique if it satisfies a certain condition with respect to the ordering, ensuring that each maximal clique is output exactly once. It is well recognized that in enumerating maximal cliques, the sizes of different subproblems can be non-uniform, and load balancing among the subproblems is a significant issue. Our algorithm uses the above vertex ordering to greatly improve load balancing when compared with straightforward approaches to parallelization. PECO has been designed and implemented for the MapReduce framework, but this technique is applicable to other parallel frameworks as well. Our experiments on a variety of large real world graphs, using several ordering strategies, show that PECO can enumerate cliques in large graphs of well over a million vertices and tens of millions of edges, and that it scales well to at least 64 processors. A comparison of ordering strategies shows that an ordering based on vertex degree performs the best, improving load balance and reducing total work when compared to the other strategies.