Miracle-dz/UniFAR-FTUs huggingface dataset:
Joint Application of Geophysical Techniques for Engineering Site Characterization of Samara University Area, Ethiopia

2D electrical resistivity imaging, vertical electrical sounding and magnetic methods have been conducted for site characterization for large building foundations at Samara University, one of the emerging institutions of learning in Ethiopia. The main objective of the study was to examine the suitability of the subsurface geological formations and structures for foundation on the on-going construction and future expansion of the university. From the results of the survey, it has been possible to map the stratification of the subsurface layers, areas of weakness in the subsurface and the vertical as well as lateral extents of the different lithologies. Moreover, the depth to the substratum suitable for foundation is determined. From interpretation of the geophysical survey results, the near surface geology of the study area includes three layers: a first layer, which is the top soil having considerably varying thickness over the area; a second layer which is interpreted as a layer of vesicular basalt which is the best lithology for the foundation purpose. This layer extends to depth of about 6 m on the north and eastern parts of the area whereas it goes up to 11 m depth on the south and south-western part of the survey area. The third layer which is characterized by very low apparent resistivity response is interpreted as weathered basalt and clay. From a combined interpretation of the geophysical data, three weak zones have been identified over the survey area. Out of these one is oriented N-S while the other two are oriented in a near NW-SE direction. From all the above interpretations, it was possible to suggest that the university must expand towards the northern part of the campus compound. Moreover, special considerations should be taken during designing and implementation of buildings in the eastern and southern part of the area, where the weak zones detrimental to foundation of large buildings are mapped.
DESIGN OF LOW POWER AND HIGH PERFORMANCE PULSE DESIGN OF LOW POWER AND HIGH PERFORMANCE PULSE TRIGGERED FLIP FLOP USING CONDITIONAL PULSE TRIGGERED FLIP FLOP USING CONDITIONAL PULSE ENHANCEMENT METHOD ENHANCEMENT METHOD

-In this paper, a novel low-power high performance pulse-triggered flip-flop using conditional pulse enhancement design method is presented. Our proposed design is Enhanced Pulse Triggered Low-power Flip Flop (EPTLFF). It design is done by the pulse generation control logic, an AND function, is removed from the critical path to facilitate a faster discharge operation. A simple two-transistor AND gate design is used to reduce the circuit complexity. The EPTLFF avoids unnecessary internal node transitions to reduce power consumption. As a result, transistor sizes in delay inverter and pulse-generation circuit can be reduced for power saving. Various layout simulation results comparison between previously reported design and modified design is based on 90nm and 50nm technology. The proposed design features the best power-delay-product performance in five FF designs under comparison. Its maximum power saving compared to the conventional P-FF designs is up to 18.6%.
Energy Efficiencies for V-BLAST-modified OSIC-based Cooperative MIMO Scheme

For energy-constrained distributed wireless sensor networks (WSNs), good bit-error-rate (BER) performance of V-BLAST detection in long-haul communication for cooperative multiple input multiple output(CMIMO) can significantly cut down the overall power consumption. In this paper, we propose a modified layered OSIC scheme to use parallel interference cancellation to replace part of successive interference cancellation, meanwhile we employ post-cancellation and pre-cancellation to refine the coarse results. Detailed steps are described as follows, firstly, according to the complexity formulas we choose the optimal number of transmit layers to be detected by the modified layered OSIC scheme and the remaining transmit layers then be detected by ML scheme to give better BER performance. Simulation and analysis indicate that via using the proposed OSIC method, a certain number of pseudo inverse operations are saved while improving a better BER performance. We still adopt the proposed OSIC method in the long-haul communication for WSNs, based on this new method, the modulation size are selected with respect to achieving the lowest energy consumption. Numerical results show that significant energy savings can be received by the proposed OSIC method for distributed WSNs.
Health Belief Model and Fatalism related to Breast Cancer Screening in Working Women

ii Acknowledgments . iii List of Tables . viii List of Figures . ix List of Abbreviations or Symbols . x Chapter 1 – Introduction . 1 Statement of the Problem . 2 Theoretical Framework . 5 Health Belief Model . 6 Purpose of the Study . 7 Significance of the Study . 7 Research Questions . 9 Assumptions . 10 Limitations . 10 Delimitations . 11 Definition of Terms. 11 Chapter 2 – Literature Review . 14 Introduction . 14 Purpose . 14
POWER FLOOR GENERATING ENERGY BY WALKING

In recent scenario, the demand for energy has been increasing at an alarming rate and there has been a decrease in the availability of energy resources. For sustainable development, the need of the hour is to develop more efficient, pollution free and renewable energy resources to meet the unending demands. Our paper is one such attempt to generate electrical energy from footsteps. The method being employed by us is using piezoelectric crystals. The idea is to develop a “Power Floor” which is actually a floor that can produce electricity when stepped upon. In this paper we have reviewed various concepts and methods of energy harvesting from a piezoelectric crystal.
A Survey on Security Schemes for Multipath DSR routing

: MANET is an infrastructure fewer networks composed of mobile nodes. Link failure due to node mobility increases the necessity of multipath routing in MANET. It improves reliability, robustness and load balancing. There are numerous routing protocols in MANET classified under two major categories, such as Topology based and Position based, on which DSR comes under Topology category that is widely considered as simplest protocol for routing. Multipath technique is used along with most of the routing protocols to overcome route failure drawback of single path. Wireless links in MANET made security an inevitable process. Malicious node tends to compromise the nodes within network to launch attack. This entity could lead to significant vulnerability. The focus of this paper is on surveying various schemes adopted for reducing vulnerability issues in DSR.
Reduction of Hip2 suppresses gastric cancer cell proliferation, migration, invasion and tumorigenesis

Background Hip2, a ubiquitin-conjugating enzyme, has been shown to modulate the stability of cyclin B1, a cell cycle regulator. However, the function of Hip2 in gastric cancer (GC) remains largely elusive. Methods The expression of Hip2 in GC cell lines was analyzed by RT-qPCR, Western Blotting and Immunohistochemical Staining. shRNA was utilized to knock down the expression of Hip2. Cell growth, cell cycle, migration, invasion and tumorigenesis were performed by CCK-8, BrdU staining, flow cytometry, wound healing, transwell migration and invasion, and xenograft assay, respectively. Results Hip2 was highly expressed in GC cell lines and patients. High level of Hip2 indicated poor prognosis. Knockdown of Hip2 suppressed cell growth, lead to G2/M phase arrest, and reduced cell migration and invasion in vitro. Furthermore, downregulation of Hip2 inhibited tumorigenesis in vivo. Conclusions Elevated expression of HIP2 in GC patients suggested poor prognosis. Reduction of Hip2 suppressed GC progression, indicating that Hip2 may be a potential target for the management of GC.
Significance of Facebow Transfer

Introduction: A precise understanding, recording, and transfer of jaw relations from the patient to the articulator are important for restoring the dental function, appearance of face and to maintain patient’s oral health. The maxilla-mandibular relationship should be satisfied, or else it can eventually lead to the failure of prosthetic restoration which may demand time and money to repair. The use of a Facebow can play an integral part in transferring the maxilla-mandibular relationship from patient’s oral cavity to the articulator. Aim of the Work: The review summarizes the relevance and significance of facebow transfer in dental restorative treatment. Methodology: This article is a comprehensive review of PUBMED from the year 1953 to 2018. Conclusion: The lack of facebow use can lead to discrepancies in occlusion. Every masticatory movement of the mandible is governed by the hinge axis. Therefore, it is important that this axis is precisely captured and transferred to the articulator so that it becomes a satisfactory representation of the patient which makes it feasible to provide a biologically acceptable restoration. Hence the usage of facebow in prosthodontic treatment is of utmost importance.
Paediatric Health Professionals as Parent Educators: A Developing Role?

The purpose of this study was to develop an improved understanding of the perception of health professionals regarding the provision of information to parents of children with long-term disabilities. The aim was to generate new perspectives, inform debate, and to identify practical suggestions for health professionals. This study adopted a qualitative approach, guided by a phenomenological methodology. Seven health professionals, working within an Integrated Children and Young Person’s Therapy Service of a single UK National Health Service (NHS) foundation trust, participated in semi-structured, in-depth interviews. The resultant data were analysed using a rigorous, systematic process of thematic content analysis. Two main themes were identified and discussed. Theme 1 was ‘parent readiness for information’; with subthemes 1A ‘assessing parent readiness’ and 1B ‘developing parent readiness’. Theme 2 was ‘role as information manager’. (It is acknowledged that a further theme ‘relationship with parents’ was identified; which will be presented and discussed in another article). The following conclusions were drawn. The health professional’s role, as a provider of information to parents of children with disabilities, is evolving and may now be more helpfully described as that of a parent educator. It is suggested that this may involve a shift in focus from content/timing of information provision to the development of parents as learners. It is also suggested that it would be useful for health professionals to explore opportunities for practice-based initiatives to support the development of the skills required for this role.
Performance Analysis of Topology based Routing Protocols in VANET

— Vehicular Ad Hoc Network is an emerging field in wireless technology. Data Dissemination in VANET is complicated due to high mobility and continuous change in the topology of the network. In this study we have analyzed the performance of topology based routing protocols with two different traffic scenarios in VANET. In order to analyze the performance of these protocols, we considered some of the QOS parameters like Average Throughput, End-to-End Delay, Packet Delivery Ratio and Average Jitter. This paper considered the different topology based routing protocols including OLSR, IARP, AODV, DYMO and ZRP. Here OLSR, IARP are proactive protocols, AODV, DYMO are reactive protocols, and ZRP is a hybrid protocol. The performance of these protocols has been analyzed and presented using QualNet Simulator 5.0. 2.
High Performance Stand Alone Solar PV System with High Gain, High Efficiency Front End DC-DC Converter and Bi-Directional Quadratic buck-boost DC-DC Converter for Low Input Voltage Solar PV Applications

Solar Photovoltaic (PV) has emerged as a major contender to serve as an alternative energy source and is currently playing a leading role in supporting the existing conventional power generation systems. Several solar PV systems require a high gain front end dc-dc converter. Conventional dc-dc converters can offer limited gain and their efficiency drops as the gain requirement increases. This paper proposes a novel 3-φ stand-alone solar PV system configuration that uses high gain, high efficiency dc-dc converters both in the forward power stages. Also Bidirectional dc-dc converter is a vital part of standalone solar Photo-Voltaic (PV) systems for interfacing the battery. The use of low voltage PV and battery sources are enabled by High voltage gain converters. Partial shading and parasitic capacitance effects on the PV source is also reduced. Reduction in battery life due to overcharging and deep discharging issues has been minimised by obviating series connection of a large number of battery modules. MPPT has been employed to extract maximum power from solar panel. For the stable and reliable system operation, Inverter output voltage is regulated by controlling the modulation index of sinusoidal pulse width modulation. By regulating the DC link voltage the active power demand is controlled. All the simulation results of this work are presented. The model is developed and applied in the MATLAB / Simulink environment, based on the mathematical and electrical models developed for the proposed system.
A Novel Approach for Classifying Medical Images Using Data Mining Techniques

— The ever increasing amounts of patient data in the form of medical images, imposes new challenges to clinical routine such as diagnosis, treatment and monitoring. Hence research in medical data mining is the state of the art. In this paper, a novel approach for automatic classification of fundus images is proposed. The method uses image and data pre-processing techniques to improve the performance of machine learning classifiers. Further a discretization method is proposed to improve the accuracy of the classifiers. Experiments were done on retinal fundus images using the proposed method on three classifiers Naïve Bayes NB, k nearest neighbor kNN, and support vector machine SVM. Results in terms of classification accuracy and area under the Roc curve AUC show that NB outperform the other classifiers as per the proposed method.
A Review of Various Techniques for Optimal Placement of Capacitors for Reactive Power Control

Reactive power management has been a vital downside for the last a few years. The role of reactive power will be understood because it affects voltage stability, power issue and losses during a grid. To unravel this downside several approaches are utilized in the literature. Capacitors are used for identical. However the matter lies to find the best location and size of the capacitors. This paperreviews all the literature existing till date to the best of my knowledge in the field of locating the best placement of capacitors and size of the capacitors deployed. The merits and demerits of the various techniques are discussed and concluded with our own proposition.
Analysis of Intrusion Detection Models for Wireless Sensor Networks

: With increase in the utility of Wireless Sensor Networks in various mission critical fields like environmental monitoring, traffic control, military, medical and healthcare, inventory tracking and smart spaces; secure and reliable sensor networks are a necessity. Majority of sensor networks are deployed in hostile areas making them difficult to maintain. With limited energy of sensor nodes deploying an efficient Intrusion Detection System which does not consume more resources than the primary function of the network is of paramount importance. The Intrusion Detection System should detect and recover from internal and external attacks. In this paper, analysis of different methodologies is performed to identify their advantages and disadvantages.
E-Nose for gas detection at vehicle exhaust Using supervised learning algorithm

Volume 1, Issue 4 November December 2012 Page 145 Abstract: An electronic nose is an intelligent system used to monitor the gases. The system is designed to detect the pollution at vehicle exhaust. The system informs the user about the concentration of CO and HC. It also displays whether pollution is under control or not. Commercial gas sensors having low power consumption are used in the design. For data acquisition, a micro-controller is used. Data processing is done using supervised learning of Artificial Neural Network (ANN). The results of ANN training are given, which is obtained using MATLAB. The system is calibrated using the actual field readings of PUC machines available. Five Different ANN training methods are also compared based on errors. GUI developed displays concentrations of CO and HC, a conclusive message and bars indicating present gas level.
Investigation of Groundwater Resources by Determining the Aquifer Parameters around Futa Staff Quarters

An electrical resistivity survey was conducted at the Federal University of Technology, Akure (FUTA) staff quarters with a view to determine the subsurface layer parameters (velocities, resistivity, and thicknesses) and use same to categorize the ground-water potential and aquifer characteristics of the study area. Fifteen Vertical Electrical Soundings (VES) of the Schlumberger configuration were performed with electrode separation (AB/2) varying from 1 m to 65 m. An Ohmega (Ω) resistivity meter was used in the survey. The geo-electric data obtained were interpreted with partial curve matching and computer iteration using RESIST software. The results shows the presence of five geoelectric layers comprising top soil, weathered layered, partially weathered, fractured basement and fresh basement. The topsoil had resistivity ranging from 104 Ωm309 Ωm with a depth of 0.7 m-2.6 m. The weathered layer had resistivity ranging from 53 Ωm256 Ωm with a depth of 2.8 m19.4 m. The partially weathered had resistivity ranging from 108 Ωm645 Ωm with a depth of 6.1m-18.7m. The fractured basement had resistivity ranging from 104 Ωm105 Ωm with a depth of 4.7m – 14m while the fresh basement had resistivity ranging from 860 Ωm1638 Ωm with a depth of 6m – 16m. The comparison of the various parameters indicates that VES 5 is the preferable point to dig a well in this study area. It is therefore recommended that a good water scheme should be established to serve the residents of the study area.
A Review on Song Recommendation Techniques

- Singing skills of each singer help in choosing accurate songs for them. These skills are determined by using vocal competence. Matching a song to singer’s vocal competence is the major and difficult task in song recommendation. There are other song recommendation systems, which works on recommending songs of listener’s interest. These traditional approaches did not consider the singer’s ability of singing which leads to poor singing performance by singer. This paper focuses on the techniques related to music retrieval such as content based and collaborative. This paper has focused on the other method of song recommendation and the techniques of feature extraction, feature selection. Music transcription and song ranking using learning-to-rank method has explained.
Curvature Anisotropic Gaussian Filter for MRI brain Images enhancement and edge preserving

Summary Magnetic Resonance Imaging (MRI) brain images often suffer from low contrast and noise, especially in brain imaging. This noise hampers further tasks such as segmentation of the important features and classification of brain tumor. As a result, the visual quality gets deteriorated and perfect diagnosis of the disease becomes difficult. During the acquisition process of (MRI), irregular bias is imposed in the intensity values of the pixels. These biases follow the Gaussian Noise distribution model and act as a constraint to the effective medical diagnosis. We are interested in Partial Differential Equations (PDE) in order to smooth MRI brain image in an anisotropic manner. The Anisotropic Diffusion filter (ADF) approach is limited to preserve the structural integrity of MRI brain image at only low noise levels. This paper proposes (CADF) algorithm aimed to improve the estimation of the diffusion constant to facilitate better edge detection and preservation of details. We demonstrated how the diffusion tensor computed in an anatomically enhanced MRI brain image coordinate by (CADF). This framework facilitates radiologist to assess brain tissue change and guide them to evaluate MRI brain image of having brain tumor Simulation trials have been conducted at different Gaussian noise variances and performance has been evaluated on the basis of Peak Signal-Noise Ratio (PSNR) and Structural Similarity (SS). The proposed algorithm has shown stable value of evaluation parameters at higher noise variances. Also, the preservation of details has improved as compared to the Curvature Anisotropic Diffusion Filter. Finally, we illustrate the efficiency of our generic curvature-preserving approach. Experimental results show that the new method can achieve better denoising results in a variety of MRI brain images, and the new approach shows superior performance on edge and curvature preserving edges and texture image.
Smart monitor of pacemaker patient by using IoT cloud in real time

People severing from heart diseases are increasing day after day, now it's more important to focus on this destructive problem and provide a good health care and remote patient monitoring . An effective monitoring system has been discovered to monitor patients who are implanting a pacemaker and need long-term follow-up. So extensive research has been done to monitor ECG and analyze it by using the free open source website and linking it with portable ECG system that are responsible for the presentation and storage of data to the doctor and patient. In this research we will develop a new method of ECG monitoring for patients who are implanting pacemakers and help them to transfer their ECG signal for long distances depending on the Internet things (IOT). Once the device is worn, it will start collecting ECG information and sent it directly via Wi-Fi to the IOT cloud. Reviewing ECG data through the web has led to the alleviation of the problem of the inability of the doctor to monitor the patient from the home as well as in the event that the doctor is being in another country ,the device also helps to discover the magnetic field that confuses the pacemaker by giving the patient a warning. The results of the test are able to detect that the system would be reliable for displaying real-time ECG data, which could help facilitate patient follow-up after implantation of the pacemaker at home with ease of use and cheaper price.
Moving The Field of Health Behaviour Research Forward with Genuine Application and Cross-Culture Assessment of Established Theoretical Models and Techniques

It is widely acknowledged that human health behaviours are influenced by a range of factors that operate and interact at both individual and environmental levels. Behavioural scientists and academics from various disciplines have attempted to identify those factors and described the relationships among them. The Environmental Research framework for weight Gain prevention (EnRG framework) [1], Ecological framework [2, 3] and the analysis grid for environments linked to obesity (ANGELO framework) [4] are just examples of established theoretical models for behavioural change or determination. Theories are useful tools created to help people understand complex issues and address the issues in a more systematic way [5]. However, even the ecological approach, a widely known theoretical model, has rarely been used in this field and for those studies that claimed to have adopted an ecological approach, none of them in fact have examined the relationships or interaction between the various influencing factors studied [6]. It’s also arguable that the increasingly popular ‘intervention mapping’ approach implies an emphasis on linear bivariate relationships between behaviour determinants as it asks users to specify each behaviour determinant and develop specific strategies to change them.